Image Classification on ImageNet 2012 (val) with Efficiency Metrics
24.4Top-1 ErrorAutoSlim
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| AutoSlimEpoch=150, Backbone=ResNet502022.05 | 24.4 | — | 80.6 | — | |
| MetaPruningEpoch=160, Backbone=ResNet502022.05 | 24.6 | — | 48.78 | — | |
| Adapt-DCPEpoch=120, Backbone=ResNet502022.05 | 24.85 | 7.7 | 47.59 | 45.01 | |
| Random PruningEpoch=120, Backbone=ResNet502022.05 | 24.87 | 7.48 | 48.99 | 54.12 | |
| HRankEpoch=480, Backbone=ResNet502022.05 | 25.02 | 7.67 | 56.23 | 63.33 | |
| DCPEpoch=60, Backbone=ResNet502022.05 | 25.05 | 7.68 | 44.5 | 48.44 | |
| FPGMEpoch=90, Backbone=ResNet502022.05 | 25.17 | 7.68 | 46.5 | — | |
| Random PruningEpoch=75, Backbone=ResNet502022.05 | 25.22 | 7.69 | 50.72 | 54.99 | |
| AutoPrunerEpoch=32, Backbone=ResNet502022.05 | 25.24 | 7.85 | 48.79 | — | |
| SFPEpoch=100, Backbone=ResNet502022.05 | 25.39 | 7.94 | 58.2 | — | |
| Random PruningEpoch=25, Backbone=ResNet502022.05 | 25.85 | 8.01 | 50.72 | 54.99 | |
| ThiNetEpoch=87, Backbone=ResNet502022.05 | 27.97 | 9.01 | 44.17 | — | |
| GAL-0.5Epoch=30, Backbone=ResNet502022.05 | 28.05 | 9.06 | 56.97 | 83.14 | |
| SSSEpoch=100, Backbone=ResNet502022.05 | 28.18 | 9.21 | 56.96 | 61.15 | |
| Adapt-DCPEpoch=310, Backbone=MobileNetV22022.05 | 28.55 | — | 68.92 | — | |
| MetaPruningEpoch=160, Backbone=MobileNetV22022.05 | 28.8 | — | 72.33 | — | |
| Random PruningEpoch=120, Backbone=MobileNetV22022.05 | 29.1 | — | 70.87 | — | |
| AMCEpoch=120, Backbone=MobileNetV22022.05 | 29.2 | — | 70 | — |