Image Classification on iNaturalist 2017 (val)
72.2Top-1 AccuracyViT-B w/ AGLU
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| ViT-B w/ AGLUBackbone=ViT-B, AGLU=true, Crop Size=2242024.07 | 72.2 | — | — | |
| ViT-BBackbone=ViT-B, Crop Size=2242024.07 | 72.1 | — | — | |
| SE-ResNet50 w/ APA* + AGLUBackbone=ResNet-50, SE=true, APA=true, AGLU=true, Crop Size=2242024.07 | 69.7 | — | — | |
| SAMixBackbone=ResNeXt-1012021.11 | 68.26 | — | — | |
| SAMixPBackbone=ResNeXt-1012021.11 | 68.23 | — | — | |
| AutoMixBackbone=ResNeXt-1012021.11 | 68.03 | — | — | |
| PuzzleMixBackbone=ResNeXt-1012021.11 | 67.72 | — | — | |
| CutMixBackbone=ResNeXt-1012021.11 | 67.59 | — | — | |
| SE-ResNet50Backbone=ResNet-50, SE=true, Crop Size=2242024.07 | 67.3 | — | — | |
| SaliencyMixBackbone=ResNeXt-1012021.11 | 67.2 | — | — | |
| ResizeMixBackbone=ResNeXt-1012021.11 | 66.82 | — | — | |
| FMixBackbone=ResNeXt-1012021.11 | 66.64 | — | — | |
| Feature Space AugmentationBackbone=ResNet-1522020.08 | 66.58 | — | — | |
| MixupBackbone=ResNeXt-1012021.11 | 66.27 | — | — | |
| ManifoldMixBackbone=ResNeXt-1012021.11 | 66.08 | — | — | |
| BaselineBackbone=ResNet-1522020.08 | 65.12 | — | — | |
| CBBackbone=ResNet-1522020.08 | 64.75 | — | — | |
| Feature Space AugmentationBackbone=ResNet-1012020.08 | 64.16 | — | — | |
| VanillaBackbone=ResNeXt-1012021.11 | 63.7 | — | — | |
| SAMixPBackbone=ResNet-502021.11 | 63.38 | — | — | |
| SAMixBackbone=ResNet-502021.11 | 63.32 | — | — | |
| AutoMixBackbone=ResNet-502021.11 | 63.08 | — | — | |
| PuzzleMixBackbone=ResNet-502021.11 | 62.66 | — | — | |
| SaliencyMixBackbone=ResNet-502021.11 | 62.51 | — | — | |
| CutMixBackbone=ResNet-502021.11 | 62.34 | — | — | |
| ResizeMixBackbone=ResNet-502021.11 | 62.29 | — | — | |
| Feature Space AugmentationBackbone=ResNet-502020.08 | 61.96 | — | — | |
| FMixBackbone=ResNet-502021.11 | 61.9 | — | — | |
| BaselineBackbone=ResNet-1012020.08 | 61.81 | — | — | |
| ManifoldMixBackbone=ResNet-502021.11 | 61.47 | — | — | |
| MixupBackbone=ResNet-502021.11 | 61.22 | — | — | |
| CBBackbone=ResNet-101, Source=Literature2020.08 | 60.94 | — | — | |
| BaselineBackbone=ResNet-502020.08 | 60.5 | — | — | |
| VanillaBackbone=ResNet-502021.11 | 60.23 | — | — | |
| CBBackbone=ResNet-50, Source=Literature2020.08 | 58.08 | — | — | |
| ResNet-101Loss=Softmax, Input Size=224 x 2242019.01 | — | 42.57 | 20.42 | |
| ResNet-101Loss=CB Focal, beta=0.999, gamma=0.5, Input Size=224 x 2242019.01 | — | 39.06 | 18.96 | |
| ResNet-101Loss=CB Focal, beta=0.999, gamma=0.5, Input Size=320 x 3202019.01 | — | 34.96 | 15.9 | |
| ResNet-152Loss=Softmax, Input Size=224 x 2242019.01 | — | 41.42 | 19.47 | |
| ResNet-152Loss=CB Focal, beta=0.999, gamma=0.5, Input Size=224 x 2242019.01 | — | 38.06 | 18.42 | |
| ResNet-152Loss=CB Focal, beta=0.999, gamma=0.5, Input Size=320 x 3202019.01 | — | 33.73 | 14.96 | |
| ResNet-50Loss=Softmax, Input Size=224 x 2242019.01 | — | 45.38 | 22.67 | |
| ResNet-50Loss=CB Focal, beta=0.999, gamma=0.5, Input Size=224 x 2242019.01 | — | 41.92 | 20.92 | |
| ResNet-50Loss=CB Focal, beta=0.999, gamma=0.5, Input Size=320 x 3202019.01 | — | 38.16 | 18.28 |