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@DarryO DarryO/DORN_KITTI

Created Apr 22, 2019
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name: "DORN"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 385
input_dim: 513
layer {
name: "conv1_1_3x3_s2"
type: "Convolution"
bottom: "data"
top: "conv1_1_3x3_s2"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv1_1_3x3_s2/bn"
type: "BN"
bottom: "conv1_1_3x3_s2"
top: "conv1_1_3x3_s2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv1_1_3x3_s2/relu"
type: "ReLU"
bottom: "conv1_1_3x3_s2"
top: "conv1_1_3x3_s2"
}
layer {
name: "conv1_2_3x3"
type: "Convolution"
bottom: "conv1_1_3x3_s2"
top: "conv1_2_3x3"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv1_2_3x3/bn"
type: "BN"
bottom: "conv1_2_3x3"
top: "conv1_2_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv1_2_3x3/relu"
type: "ReLU"
bottom: "conv1_2_3x3"
top: "conv1_2_3x3"
}
layer {
name: "conv1_3_3x3"
type: "Convolution"
bottom: "conv1_2_3x3"
top: "conv1_3_3x3"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv1_3_3x3/bn"
type: "BN"
bottom: "conv1_3_3x3"
top: "conv1_3_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv1_3_3x3/relu"
type: "ReLU"
bottom: "conv1_3_3x3"
top: "conv1_3_3x3"
}
layer {
name: "pool1_3x3_s2"
type: "Pooling"
bottom: "conv1_3_3x3"
top: "pool1_3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
pad: 1
}
}
layer {
name: "conv2_1_1x1_reduce"
type: "Convolution"
bottom: "pool1_3x3_s2"
top: "conv2_1_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_1_1x1_reduce/bn"
type: "BN"
bottom: "conv2_1_1x1_reduce"
top: "conv2_1_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_1_1x1_reduce/relu"
type: "ReLU"
bottom: "conv2_1_1x1_reduce"
top: "conv2_1_1x1_reduce"
}
layer {
name: "conv2_1_3x3"
type: "Convolution"
bottom: "conv2_1_1x1_reduce"
top: "conv2_1_3x3"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_1_3x3/bn"
type: "BN"
bottom: "conv2_1_3x3"
top: "conv2_1_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_1_3x3/relu"
type: "ReLU"
bottom: "conv2_1_3x3"
top: "conv2_1_3x3"
}
layer {
name: "conv2_1_1x1_increase"
type: "Convolution"
bottom: "conv2_1_3x3"
top: "conv2_1_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_1_1x1_increase/bn"
type: "BN"
bottom: "conv2_1_1x1_increase"
top: "conv2_1_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_1_1x1_proj"
type: "Convolution"
bottom: "pool1_3x3_s2"
top: "conv2_1_1x1_proj"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_1_1x1_proj/bn"
type: "BN"
bottom: "conv2_1_1x1_proj"
top: "conv2_1_1x1_proj"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_1"
type: "Eltwise"
bottom: "conv2_1_1x1_proj"
bottom: "conv2_1_1x1_increase"
top: "conv2_1"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv2_1/relu"
type: "ReLU"
bottom: "conv2_1"
top: "conv2_1"
}
layer {
name: "conv2_2_1x1_reduce"
type: "Convolution"
bottom: "conv2_1"
top: "conv2_2_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_2_1x1_reduce/bn"
type: "BN"
bottom: "conv2_2_1x1_reduce"
top: "conv2_2_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_2_1x1_reduce/relu"
type: "ReLU"
bottom: "conv2_2_1x1_reduce"
top: "conv2_2_1x1_reduce"
}
layer {
name: "conv2_2_3x3"
type: "Convolution"
bottom: "conv2_2_1x1_reduce"
top: "conv2_2_3x3"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_2_3x3/bn"
type: "BN"
bottom: "conv2_2_3x3"
top: "conv2_2_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_2_3x3/relu"
type: "ReLU"
bottom: "conv2_2_3x3"
top: "conv2_2_3x3"
}
layer {
name: "conv2_2_1x1_increase"
type: "Convolution"
bottom: "conv2_2_3x3"
top: "conv2_2_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_2_1x1_increase/bn"
type: "BN"
bottom: "conv2_2_1x1_increase"
top: "conv2_2_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_2"
type: "Eltwise"
bottom: "conv2_1"
bottom: "conv2_2_1x1_increase"
top: "conv2_2"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv2_2/relu"
type: "ReLU"
bottom: "conv2_2"
top: "conv2_2"
}
layer {
name: "conv2_3_1x1_reduce"
type: "Convolution"
bottom: "conv2_2"
top: "conv2_3_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_3_1x1_reduce/bn"
type: "BN"
bottom: "conv2_3_1x1_reduce"
top: "conv2_3_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_3_1x1_reduce/relu"
type: "ReLU"
bottom: "conv2_3_1x1_reduce"
top: "conv2_3_1x1_reduce"
}
layer {
name: "conv2_3_3x3"
type: "Convolution"
bottom: "conv2_3_1x1_reduce"
top: "conv2_3_3x3"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_3_3x3/bn"
type: "BN"
bottom: "conv2_3_3x3"
top: "conv2_3_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_3_3x3/relu"
type: "ReLU"
bottom: "conv2_3_3x3"
top: "conv2_3_3x3"
}
layer {
name: "conv2_3_1x1_increase"
type: "Convolution"
bottom: "conv2_3_3x3"
top: "conv2_3_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv2_3_1x1_increase/bn"
type: "BN"
bottom: "conv2_3_1x1_increase"
top: "conv2_3_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv2_3"
type: "Eltwise"
bottom: "conv2_2"
bottom: "conv2_3_1x1_increase"
top: "conv2_3"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv2_3/relu"
propagate_down: 0
type: "ReLU"
bottom: "conv2_3"
top: "conv2_3"
}
layer {
name: "conv3_1_1x1_reduce"
type: "Convolution"
bottom: "conv2_3"
top: "conv3_1_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_1_1x1_reduce/bn"
type: "BN"
bottom: "conv3_1_1x1_reduce"
top: "conv3_1_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_1_1x1_reduce/relu"
type: "ReLU"
bottom: "conv3_1_1x1_reduce"
top: "conv3_1_1x1_reduce"
}
layer {
name: "conv3_1_3x3"
type: "Convolution"
bottom: "conv3_1_1x1_reduce"
top: "conv3_1_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_1_3x3/bn"
type: "BN"
bottom: "conv3_1_3x3"
top: "conv3_1_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_1_3x3/relu"
type: "ReLU"
bottom: "conv3_1_3x3"
top: "conv3_1_3x3"
}
layer {
name: "conv3_1_1x1_increase"
type: "Convolution"
bottom: "conv3_1_3x3"
top: "conv3_1_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_1_1x1_increase/bn"
type: "BN"
bottom: "conv3_1_1x1_increase"
top: "conv3_1_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_1_1x1_proj"
type: "Convolution"
bottom: "conv2_3"
top: "conv3_1_1x1_proj"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 2
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_1_1x1_proj/bn"
type: "BN"
bottom: "conv3_1_1x1_proj"
top: "conv3_1_1x1_proj"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_1"
type: "Eltwise"
bottom: "conv3_1_1x1_proj"
bottom: "conv3_1_1x1_increase"
top: "conv3_1"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv3_1/relu"
type: "ReLU"
bottom: "conv3_1"
top: "conv3_1"
}
layer {
name: "conv3_2_1x1_reduce"
type: "Convolution"
bottom: "conv3_1"
top: "conv3_2_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_2_1x1_reduce/bn"
type: "BN"
bottom: "conv3_2_1x1_reduce"
top: "conv3_2_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_2_1x1_reduce/relu"
type: "ReLU"
bottom: "conv3_2_1x1_reduce"
top: "conv3_2_1x1_reduce"
}
layer {
name: "conv3_2_3x3"
type: "Convolution"
bottom: "conv3_2_1x1_reduce"
top: "conv3_2_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_2_3x3/bn"
type: "BN"
bottom: "conv3_2_3x3"
top: "conv3_2_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_2_3x3/relu"
type: "ReLU"
bottom: "conv3_2_3x3"
top: "conv3_2_3x3"
}
layer {
name: "conv3_2_1x1_increase"
type: "Convolution"
bottom: "conv3_2_3x3"
top: "conv3_2_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_2_1x1_increase/bn"
type: "BN"
bottom: "conv3_2_1x1_increase"
top: "conv3_2_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_2"
type: "Eltwise"
bottom: "conv3_1"
bottom: "conv3_2_1x1_increase"
top: "conv3_2"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv3_2/relu"
type: "ReLU"
bottom: "conv3_2"
top: "conv3_2"
}
layer {
name: "conv3_3_1x1_reduce"
type: "Convolution"
bottom: "conv3_2"
top: "conv3_3_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_3_1x1_reduce/bn"
type: "BN"
bottom: "conv3_3_1x1_reduce"
top: "conv3_3_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_3_1x1_reduce/relu"
type: "ReLU"
bottom: "conv3_3_1x1_reduce"
top: "conv3_3_1x1_reduce"
}
layer {
name: "conv3_3_3x3"
type: "Convolution"
bottom: "conv3_3_1x1_reduce"
top: "conv3_3_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_3_3x3/bn"
type: "BN"
bottom: "conv3_3_3x3"
top: "conv3_3_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_3_3x3/relu"
type: "ReLU"
bottom: "conv3_3_3x3"
top: "conv3_3_3x3"
}
layer {
name: "conv3_3_1x1_increase"
type: "Convolution"
bottom: "conv3_3_3x3"
top: "conv3_3_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_3_1x1_increase/bn"
type: "BN"
bottom: "conv3_3_1x1_increase"
top: "conv3_3_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_3"
type: "Eltwise"
bottom: "conv3_2"
bottom: "conv3_3_1x1_increase"
top: "conv3_3"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv3_3/relu"
type: "ReLU"
bottom: "conv3_3"
top: "conv3_3"
}
layer {
name: "conv3_4_1x1_reduce"
type: "Convolution"
bottom: "conv3_3"
top: "conv3_4_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_4_1x1_reduce/bn"
type: "BN"
bottom: "conv3_4_1x1_reduce"
top: "conv3_4_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_4_1x1_reduce/relu"
type: "ReLU"
bottom: "conv3_4_1x1_reduce"
top: "conv3_4_1x1_reduce"
}
layer {
name: "conv3_4_3x3"
type: "Convolution"
bottom: "conv3_4_1x1_reduce"
top: "conv3_4_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_4_3x3/bn"
type: "BN"
bottom: "conv3_4_3x3"
top: "conv3_4_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_4_3x3/relu"
type: "ReLU"
bottom: "conv3_4_3x3"
top: "conv3_4_3x3"
}
layer {
name: "conv3_4_1x1_increase"
type: "Convolution"
bottom: "conv3_4_3x3"
top: "conv3_4_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv3_4_1x1_increase/bn"
type: "BN"
bottom: "conv3_4_1x1_increase"
top: "conv3_4_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv3_4"
type: "Eltwise"
bottom: "conv3_3"
bottom: "conv3_4_1x1_increase"
top: "conv3_4"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv3_4/relu"
type: "ReLU"
bottom: "conv3_4"
top: "conv3_4"
}
layer {
name: "conv4_1_1x1_reduce"
type: "Convolution"
bottom: "conv3_4"
top: "conv4_1_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_1_1x1_reduce/bn"
type: "BN"
bottom: "conv4_1_1x1_reduce"
top: "conv4_1_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_1_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_1_1x1_reduce"
top: "conv4_1_1x1_reduce"
}
layer {
name: "conv4_1_3x3"
type: "Convolution"
bottom: "conv4_1_1x1_reduce"
top: "conv4_1_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_1_3x3/bn"
type: "BN"
bottom: "conv4_1_3x3"
top: "conv4_1_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_1_3x3/relu"
type: "ReLU"
bottom: "conv4_1_3x3"
top: "conv4_1_3x3"
}
layer {
name: "conv4_1_1x1_increase"
type: "Convolution"
bottom: "conv4_1_3x3"
top: "conv4_1_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_1_1x1_increase/bn"
type: "BN"
bottom: "conv4_1_1x1_increase"
top: "conv4_1_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_1_1x1_proj"
type: "Convolution"
bottom: "conv3_4"
top: "conv4_1_1x1_proj"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_1_1x1_proj/bn"
type: "BN"
bottom: "conv4_1_1x1_proj"
top: "conv4_1_1x1_proj"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_1"
type: "Eltwise"
bottom: "conv4_1_1x1_proj"
bottom: "conv4_1_1x1_increase"
top: "conv4_1"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_1/relu"
type: "ReLU"
bottom: "conv4_1"
top: "conv4_1"
}
layer {
name: "conv4_2_1x1_reduce"
type: "Convolution"
bottom: "conv4_1"
top: "conv4_2_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_2_1x1_reduce/bn"
type: "BN"
bottom: "conv4_2_1x1_reduce"
top: "conv4_2_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_2_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_2_1x1_reduce"
top: "conv4_2_1x1_reduce"
}
layer {
name: "conv4_2_3x3"
type: "Convolution"
bottom: "conv4_2_1x1_reduce"
top: "conv4_2_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_2_3x3/bn"
type: "BN"
bottom: "conv4_2_3x3"
top: "conv4_2_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_2_3x3/relu"
type: "ReLU"
bottom: "conv4_2_3x3"
top: "conv4_2_3x3"
}
layer {
name: "conv4_2_1x1_increase"
type: "Convolution"
bottom: "conv4_2_3x3"
top: "conv4_2_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_2_1x1_increase/bn"
type: "BN"
bottom: "conv4_2_1x1_increase"
top: "conv4_2_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_2"
type: "Eltwise"
bottom: "conv4_1"
bottom: "conv4_2_1x1_increase"
top: "conv4_2"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_2/relu"
type: "ReLU"
bottom: "conv4_2"
top: "conv4_2"
}
layer {
name: "conv4_3_1x1_reduce"
type: "Convolution"
bottom: "conv4_2"
top: "conv4_3_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_3_1x1_reduce/bn"
type: "BN"
bottom: "conv4_3_1x1_reduce"
top: "conv4_3_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_3_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_3_1x1_reduce"
top: "conv4_3_1x1_reduce"
}
layer {
name: "conv4_3_3x3"
type: "Convolution"
bottom: "conv4_3_1x1_reduce"
top: "conv4_3_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_3_3x3/bn"
type: "BN"
bottom: "conv4_3_3x3"
top: "conv4_3_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_3_3x3/relu"
type: "ReLU"
bottom: "conv4_3_3x3"
top: "conv4_3_3x3"
}
layer {
name: "conv4_3_1x1_increase"
type: "Convolution"
bottom: "conv4_3_3x3"
top: "conv4_3_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_3_1x1_increase/bn"
type: "BN"
bottom: "conv4_3_1x1_increase"
top: "conv4_3_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_3"
type: "Eltwise"
bottom: "conv4_2"
bottom: "conv4_3_1x1_increase"
top: "conv4_3"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_3/relu"
type: "ReLU"
bottom: "conv4_3"
top: "conv4_3"
}
layer {
name: "conv4_4_1x1_reduce"
type: "Convolution"
bottom: "conv4_3"
top: "conv4_4_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_4_1x1_reduce/bn"
type: "BN"
bottom: "conv4_4_1x1_reduce"
top: "conv4_4_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_4_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_4_1x1_reduce"
top: "conv4_4_1x1_reduce"
}
layer {
name: "conv4_4_3x3"
type: "Convolution"
bottom: "conv4_4_1x1_reduce"
top: "conv4_4_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_4_3x3/bn"
type: "BN"
bottom: "conv4_4_3x3"
top: "conv4_4_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_4_3x3/relu"
type: "ReLU"
bottom: "conv4_4_3x3"
top: "conv4_4_3x3"
}
layer {
name: "conv4_4_1x1_increase"
type: "Convolution"
bottom: "conv4_4_3x3"
top: "conv4_4_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_4_1x1_increase/bn"
type: "BN"
bottom: "conv4_4_1x1_increase"
top: "conv4_4_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
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}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_4"
type: "Eltwise"
bottom: "conv4_3"
bottom: "conv4_4_1x1_increase"
top: "conv4_4"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_4/relu"
type: "ReLU"
bottom: "conv4_4"
top: "conv4_4"
}
layer {
name: "conv4_5_1x1_reduce"
type: "Convolution"
bottom: "conv4_4"
top: "conv4_5_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_5_1x1_reduce/bn"
type: "BN"
bottom: "conv4_5_1x1_reduce"
top: "conv4_5_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
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}
bn_param {
slope_filler {
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value: 1
}
bias_filler {
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value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_5_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_5_1x1_reduce"
top: "conv4_5_1x1_reduce"
}
layer {
name: "conv4_5_3x3"
type: "Convolution"
bottom: "conv4_5_1x1_reduce"
top: "conv4_5_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_5_3x3/bn"
type: "BN"
bottom: "conv4_5_3x3"
top: "conv4_5_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
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param {
lr_mult: 0
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}
param {
lr_mult: 0
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bn_param {
slope_filler {
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value: 1
}
bias_filler {
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value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_5_3x3/relu"
type: "ReLU"
bottom: "conv4_5_3x3"
top: "conv4_5_3x3"
}
layer {
name: "conv4_5_1x1_increase"
type: "Convolution"
bottom: "conv4_5_3x3"
top: "conv4_5_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_5_1x1_increase/bn"
type: "BN"
bottom: "conv4_5_1x1_increase"
top: "conv4_5_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
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param {
lr_mult: 0
decay_mult: 0
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param {
lr_mult: 0
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}
param {
lr_mult: 0
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}
bn_param {
slope_filler {
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value: 1
}
bias_filler {
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}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_5"
type: "Eltwise"
bottom: "conv4_4"
bottom: "conv4_5_1x1_increase"
top: "conv4_5"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_5/relu"
type: "ReLU"
bottom: "conv4_5"
top: "conv4_5"
}
layer {
name: "conv4_6_1x1_reduce"
type: "Convolution"
bottom: "conv4_5"
top: "conv4_6_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_6_1x1_reduce/bn"
type: "BN"
bottom: "conv4_6_1x1_reduce"
top: "conv4_6_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
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param {
lr_mult: 0
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param {
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}
bn_param {
slope_filler {
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value: 1
}
bias_filler {
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}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_6_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_6_1x1_reduce"
top: "conv4_6_1x1_reduce"
}
layer {
name: "conv4_6_3x3"
type: "Convolution"
bottom: "conv4_6_1x1_reduce"
top: "conv4_6_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_6_3x3/bn"
type: "BN"
bottom: "conv4_6_3x3"
top: "conv4_6_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
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param {
lr_mult: 0
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}
param {
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}
bn_param {
slope_filler {
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bias_filler {
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frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_6_3x3/relu"
type: "ReLU"
bottom: "conv4_6_3x3"
top: "conv4_6_3x3"
}
layer {
name: "conv4_6_1x1_increase"
type: "Convolution"
bottom: "conv4_6_3x3"
top: "conv4_6_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_6_1x1_increase/bn"
type: "BN"
bottom: "conv4_6_1x1_increase"
top: "conv4_6_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
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param {
lr_mult: 0
decay_mult: 0
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param {
lr_mult: 0
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param {
lr_mult: 0
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}
bn_param {
slope_filler {
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value: 1
}
bias_filler {
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}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_6"
type: "Eltwise"
bottom: "conv4_5"
bottom: "conv4_6_1x1_increase"
top: "conv4_6"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_6/relu"
type: "ReLU"
bottom: "conv4_6"
top: "conv4_6"
}
layer {
name: "conv4_7_1x1_reduce"
type: "Convolution"
bottom: "conv4_6"
top: "conv4_7_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_7_1x1_reduce/bn"
type: "BN"
bottom: "conv4_7_1x1_reduce"
top: "conv4_7_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
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param {
lr_mult: 0
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param {
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}
bn_param {
slope_filler {
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bias_filler {
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frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_7_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_7_1x1_reduce"
top: "conv4_7_1x1_reduce"
}
layer {
name: "conv4_7_3x3"
type: "Convolution"
bottom: "conv4_7_1x1_reduce"
top: "conv4_7_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
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pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_7_3x3/bn"
type: "BN"
bottom: "conv4_7_3x3"
top: "conv4_7_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
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param {
lr_mult: 0
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param {
lr_mult: 0
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}
bn_param {
slope_filler {
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bias_filler {
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frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_7_3x3/relu"
type: "ReLU"
bottom: "conv4_7_3x3"
top: "conv4_7_3x3"
}
layer {
name: "conv4_7_1x1_increase"
type: "Convolution"
bottom: "conv4_7_3x3"
top: "conv4_7_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_7_1x1_increase/bn"
type: "BN"
bottom: "conv4_7_1x1_increase"
top: "conv4_7_1x1_increase"
param {
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param {
lr_mult: 0
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param {
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param {
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bn_param {
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bias_filler {
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frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_7"
type: "Eltwise"
bottom: "conv4_6"
bottom: "conv4_7_1x1_increase"
top: "conv4_7"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_7/relu"
type: "ReLU"
bottom: "conv4_7"
top: "conv4_7"
}
layer {
name: "conv4_8_1x1_reduce"
type: "Convolution"
bottom: "conv4_7"
top: "conv4_8_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_8_1x1_reduce/bn"
type: "BN"
bottom: "conv4_8_1x1_reduce"
top: "conv4_8_1x1_reduce"
param {
lr_mult: 0
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}
param {
lr_mult: 0
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param {
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param {
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}
bn_param {
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bias_filler {
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}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_8_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_8_1x1_reduce"
top: "conv4_8_1x1_reduce"
}
layer {
name: "conv4_8_3x3"
type: "Convolution"
bottom: "conv4_8_1x1_reduce"
top: "conv4_8_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
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pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
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}
bias_term: false
}
}
layer {
name: "conv4_8_3x3/bn"
type: "BN"
bottom: "conv4_8_3x3"
top: "conv4_8_3x3"
param {
lr_mult: 0
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}
param {
lr_mult: 0
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param {
lr_mult: 0
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param {
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bn_param {
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bias_filler {
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frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_8_3x3/relu"
type: "ReLU"
bottom: "conv4_8_3x3"
top: "conv4_8_3x3"
}
layer {
name: "conv4_8_1x1_increase"
type: "Convolution"
bottom: "conv4_8_3x3"
top: "conv4_8_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
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}
bias_term: false
}
}
layer {
name: "conv4_8_1x1_increase/bn"
type: "BN"
bottom: "conv4_8_1x1_increase"
top: "conv4_8_1x1_increase"
param {
lr_mult: 0
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param {
lr_mult: 0
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param {
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param {
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bn_param {
slope_filler {
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value: 1
}
bias_filler {
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}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_8"
type: "Eltwise"
bottom: "conv4_7"
bottom: "conv4_8_1x1_increase"
top: "conv4_8"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_8/relu"
type: "ReLU"
bottom: "conv4_8"
top: "conv4_8"
}
layer {
name: "conv4_9_1x1_reduce"
type: "Convolution"
bottom: "conv4_8"
top: "conv4_9_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_9_1x1_reduce/bn"
type: "BN"
bottom: "conv4_9_1x1_reduce"
top: "conv4_9_1x1_reduce"
param {
lr_mult: 0
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}
param {
lr_mult: 0
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param {
lr_mult: 0
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}
param {
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}
bn_param {
slope_filler {
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value: 1
}
bias_filler {
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value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_9_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_9_1x1_reduce"
top: "conv4_9_1x1_reduce"
}
layer {
name: "conv4_9_3x3"
type: "Convolution"
bottom: "conv4_9_1x1_reduce"
top: "conv4_9_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_9_3x3/bn"
type: "BN"
bottom: "conv4_9_3x3"
top: "conv4_9_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
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param {
lr_mult: 0
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param {
lr_mult: 0
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}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
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value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_9_3x3/relu"
type: "ReLU"
bottom: "conv4_9_3x3"
top: "conv4_9_3x3"
}
layer {
name: "conv4_9_1x1_increase"
type: "Convolution"
bottom: "conv4_9_3x3"
top: "conv4_9_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_9_1x1_increase/bn"
type: "BN"
bottom: "conv4_9_1x1_increase"
top: "conv4_9_1x1_increase"
param {
lr_mult: 0
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}
param {
lr_mult: 0
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param {
lr_mult: 0
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param {
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bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
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value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_9"
type: "Eltwise"
bottom: "conv4_8"
bottom: "conv4_9_1x1_increase"
top: "conv4_9"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_9/relu"
type: "ReLU"
bottom: "conv4_9"
top: "conv4_9"
}
layer {
name: "conv4_10_1x1_reduce"
type: "Convolution"
bottom: "conv4_9"
top: "conv4_10_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_10_1x1_reduce/bn"
type: "BN"
bottom: "conv4_10_1x1_reduce"
top: "conv4_10_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
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param {
lr_mult: 0
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}
param {
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}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_10_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_10_1x1_reduce"
top: "conv4_10_1x1_reduce"
}
layer {
name: "conv4_10_3x3"
type: "Convolution"
bottom: "conv4_10_1x1_reduce"
top: "conv4_10_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_10_3x3/bn"
type: "BN"
bottom: "conv4_10_3x3"
top: "conv4_10_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
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param {
lr_mult: 0
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}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_10_3x3/relu"
type: "ReLU"
bottom: "conv4_10_3x3"
top: "conv4_10_3x3"
}
layer {
name: "conv4_10_1x1_increase"
type: "Convolution"
bottom: "conv4_10_3x3"
top: "conv4_10_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_10_1x1_increase/bn"
type: "BN"
bottom: "conv4_10_1x1_increase"
top: "conv4_10_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_10"
type: "Eltwise"
bottom: "conv4_9"
bottom: "conv4_10_1x1_increase"
top: "conv4_10"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_10/relu"
type: "ReLU"
bottom: "conv4_10"
top: "conv4_10"
}
layer {
name: "conv4_11_1x1_reduce"
type: "Convolution"
bottom: "conv4_10"
top: "conv4_11_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_11_1x1_reduce/bn"
type: "BN"
bottom: "conv4_11_1x1_reduce"
top: "conv4_11_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_11_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_11_1x1_reduce"
top: "conv4_11_1x1_reduce"
}
layer {
name: "conv4_11_3x3"
type: "Convolution"
bottom: "conv4_11_1x1_reduce"
top: "conv4_11_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_11_3x3/bn"
type: "BN"
bottom: "conv4_11_3x3"
top: "conv4_11_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_11_3x3/relu"
type: "ReLU"
bottom: "conv4_11_3x3"
top: "conv4_11_3x3"
}
layer {
name: "conv4_11_1x1_increase"
type: "Convolution"
bottom: "conv4_11_3x3"
top: "conv4_11_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_11_1x1_increase/bn"
type: "BN"
bottom: "conv4_11_1x1_increase"
top: "conv4_11_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_11"
type: "Eltwise"
bottom: "conv4_10"
bottom: "conv4_11_1x1_increase"
top: "conv4_11"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_11/relu"
type: "ReLU"
bottom: "conv4_11"
top: "conv4_11"
}
layer {
name: "conv4_12_1x1_reduce"
type: "Convolution"
bottom: "conv4_11"
top: "conv4_12_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_12_1x1_reduce/bn"
type: "BN"
bottom: "conv4_12_1x1_reduce"
top: "conv4_12_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_12_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_12_1x1_reduce"
top: "conv4_12_1x1_reduce"
}
layer {
name: "conv4_12_3x3"
type: "Convolution"
bottom: "conv4_12_1x1_reduce"
top: "conv4_12_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_12_3x3/bn"
type: "BN"
bottom: "conv4_12_3x3"
top: "conv4_12_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_12_3x3/relu"
type: "ReLU"
bottom: "conv4_12_3x3"
top: "conv4_12_3x3"
}
layer {
name: "conv4_12_1x1_increase"
type: "Convolution"
bottom: "conv4_12_3x3"
top: "conv4_12_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_12_1x1_increase/bn"
type: "BN"
bottom: "conv4_12_1x1_increase"
top: "conv4_12_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_12"
type: "Eltwise"
bottom: "conv4_11"
bottom: "conv4_12_1x1_increase"
top: "conv4_12"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_12/relu"
type: "ReLU"
bottom: "conv4_12"
top: "conv4_12"
}
layer {
name: "conv4_13_1x1_reduce"
type: "Convolution"
bottom: "conv4_12"
top: "conv4_13_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_13_1x1_reduce/bn"
type: "BN"
bottom: "conv4_13_1x1_reduce"
top: "conv4_13_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_13_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_13_1x1_reduce"
top: "conv4_13_1x1_reduce"
}
layer {
name: "conv4_13_3x3"
type: "Convolution"
bottom: "conv4_13_1x1_reduce"
top: "conv4_13_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_13_3x3/bn"
type: "BN"
bottom: "conv4_13_3x3"
top: "conv4_13_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_13_3x3/relu"
type: "ReLU"
bottom: "conv4_13_3x3"
top: "conv4_13_3x3"
}
layer {
name: "conv4_13_1x1_increase"
type: "Convolution"
bottom: "conv4_13_3x3"
top: "conv4_13_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_13_1x1_increase/bn"
type: "BN"
bottom: "conv4_13_1x1_increase"
top: "conv4_13_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_13"
type: "Eltwise"
bottom: "conv4_12"
bottom: "conv4_13_1x1_increase"
top: "conv4_13"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_13/relu"
type: "ReLU"
bottom: "conv4_13"
top: "conv4_13"
}
layer {
name: "conv4_14_1x1_reduce"
type: "Convolution"
bottom: "conv4_13"
top: "conv4_14_1x1_reduce"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_14_1x1_reduce/bn"
type: "BN"
bottom: "conv4_14_1x1_reduce"
top: "conv4_14_1x1_reduce"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_14_1x1_reduce/relu"
type: "ReLU"
bottom: "conv4_14_1x1_reduce"
top: "conv4_14_1x1_reduce"
}
layer {
name: "conv4_14_3x3"
type: "Convolution"
bottom: "conv4_14_1x1_reduce"
top: "conv4_14_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
pad: 2
dilation: 2
kernel_size: 3
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_14_3x3/bn"
type: "BN"
bottom: "conv4_14_3x3"
top: "conv4_14_3x3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_14_3x3/relu"
type: "ReLU"
bottom: "conv4_14_3x3"
top: "conv4_14_3x3"
}
layer {
name: "conv4_14_1x1_increase"
type: "Convolution"
bottom: "conv4_14_3x3"
top: "conv4_14_1x1_increase"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
}
bias_term: false
}
}
layer {
name: "conv4_14_1x1_increase/bn"
type: "BN"
bottom: "conv4_14_1x1_increase"
top: "conv4_14_1x1_increase"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
bn_param {
slope_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
frozen: true
momentum: 0.95
}
}
layer {
name: "conv4_14"
type: "Eltwise"
bottom: "conv4_13"
bottom: "conv4_14_1x1_increase"
top: "conv4_14"
eltwise_param {
operation: SUM
}
}
layer {
name: "conv4_14/relu"
type: "ReLU"
bottom: "conv4_14"
top: "conv4_14"