f-rumblefish/Performance Summary.csv

## Performance Summary.csv

          
            Approach
                  Core Network
                        Tail Network
                     File
             Accuracy

            
              Multi-Input
                 3 Conv2D/MaxPooling CNN
               Dense(1024/512/256)
                101
                65%

            
              Multi-Input
                 MobileNet
                 ...
                      107

            
              Multi-Channel
               3 Conv2D/MaxPolling CNN
               ...
                                201
                22%

            
              Multi-Channel
               MobileNet
                             GAP(0124)/Dense(256)
               307
                100%

            
              Multi-Channel
               MobileNetV2
                           GAP(1024)/Dense(256)
               308
               2-->96%/10-->22%
Approach	Core Network	Tail Network	File	Accuracy
Multi-Input	3 Conv2D/MaxPooling CNN	Dense(1024/512/256)	101	65%
Multi-Input	MobileNet	...	107
Multi-Channel	3 Conv2D/MaxPolling CNN	...	201	22%
Multi-Channel	MobileNet	GAP(0124)/Dense(256)	307	100%
Multi-Channel	MobileNetV2	GAP(1024)/Dense(256)	308	2-->96%/10-->22%