EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

Benchmark Model Rank Results
network-pruning-on-imagenetResNet50-3G FLOPs#6Accuracy: 77.1
network-pruning-on-imagenetResNet50-2G FLOPs#7Accuracy: 76.4
network-pruning-on-imagenetResNet50-1G FLOPs#11Accuracy: 74.2
network-pruning-on-imagenetResNet50-1G FLOPs#12Accuracy: 74.2
network-pruning-on-imagenetMobileNetV1-50% FLOPs#15Accuracy: 70.7