ResNet50-1.5 GFLOPs

Reported on 3 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology3 results

Network PruningonImageNet
Accuracy· 2016-08-31
78.07
best: 78.79 (ResNet50-2.3 GFLOPs)
Pruning Filters for Efficient ConvNets arXiv:1608.08710
Network PruningonImageNet
GFLOPs· 2016-08-31
1.635
best: 2.5 (ResNet50 2.5 GFLOPS)
Pruning Filters for Efficient ConvNets arXiv:1608.08710
Network PruningonImageNet
MParams· 2016-08-31
10.511
best: 14.811 (ResNet50-2.3 GFLOPs)
Pruning Filters for Efficient ConvNets arXiv:1608.08710