Image Classification on iNaturalist 2017 (Top-1 Accuracy)
75.4Top-1 AccuracyFixRes
Evaluation results
| Method | Links | |
|---|---|---|
| FixResBackbone=SENet-1542019.06 | 75.4 | |
| SENet-154Evaluation Protocol=Baseline2019.06 | 74.1 | |
| AutoMixBackbone=ResNeXt-1012021.03 | 68.03 | |
| PuzzleMixBackbone=ResNeXt-1012021.03 | 67.72 | |
| CutMixBackbone=ResNeXt-1012021.03 | 67.59 | |
| IncResNet-V2-SE2019.06 | 67.3 | |
| SaliencyMixBackbone=ResNeXt-1012021.03 | 67.2 | |
| ResizeMix*Backbone=ResNeXt-1012021.03 | 66.82 | |
| FMix*Backbone=ResNeXt-1012021.03 | 66.64 | |
| MixUpBackbone=ResNeXt-1012021.03 | 66.27 | |
| ManifoldMixBackbone=ResNeXt-1012021.03 | 66.08 | |
| VanillaBackbone=ResNeXt-1012021.03 | 63.7 | |
| AutoMixBackbone=ResNet-502021.03 | 63.08 | |
| PuzzleMixBackbone=ResNet-502021.03 | 62.66 | |
| SaliencyMixBackbone=ResNet-502021.03 | 62.51 | |
| CutMixBackbone=ResNet-502021.03 | 62.34 | |
| ResizeMix*Backbone=ResNet-502021.03 | 62.29 | |
| FMix*Backbone=ResNet-502021.03 | 61.9 | |
| ManifoldMixBackbone=ResNet-502021.03 | 61.47 | |
| MixUpBackbone=ResNet-502021.03 | 61.22 | |
| VanillaBackbone=ResNet-502021.03 | 60.23 |