Pruning Filters for Efficient ConvNets

Benchmark Model Rank Results
network-pruning-on-imagenetResNet50-2.3 GFLOPs#1Accuracy: 78.79GFLOPs: 2.335MParams: 14.811
network-pruning-on-imagenetResNet50-1.5 GFLOPs#2Accuracy: 78.07GFLOPs: 1.635MParams: 10.511
network-pruning-on-imagenetResNet50-1G FLOPs#8Accuracy: 76.376GFLOPs: 1.075MParams: 6.954