name | caffemodel | caffemodel_url | sha1 | gist_id |
---|---|---|---|---|
Fully convolutional reduced VGGNet |
VGG_ILSVRC_16_layers_fc_reduced.caffemodel |
97eb7c469c5097f51a0f9a944f4a5731f470eee2 |
This is a model used in the paper
ParseNet: Looking Wider to See Better
Wei Liu, Andrew Rabinovich, Alexander C. Berg
arXiv:1506.04579
This is a network modified from VGGNet by making it fully convolutional and also by subsampling parameters from fc6 and fc7 layers. This is useful when using it to finetune for segmentation. For example, ParseNet shows how to use it to finetune for semantic segmentation task.
I still had a copy of the caffemodel running around. I uploaded it to
https://owncloud.gwdg.de/index.php/s/SjXmX0Uqh1zaYgI/download
checksum should match the one in the table above:
sha1: 97eb7c469c5097f51a0f9a944f4a5731f470eee2
md5: f544332b79d78c838978ce2782b0c196
size: 83 MB