Group Fisher Pruning for Practical Network Compression

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Benchmark Model Rank Results
network-pruning-on-imagenetRegX-1.6G#4Accuracy: 77.97GFLOPs: 1.588MParams: 9.3
network-pruning-on-imagenetMobileNetV2#13Accuracy: 73.42GFLOPs: 0.29MParams: 3.31

Rank counts only results with a code link.