Image Classification on ObjectNet-9 distribution-shifted (test)
31.38Test AccuracyBYOL + BG-Mixup (CAM)
Evaluation Results
| Method | Links | |
|---|---|---|
| BYOL + BG-Mixup (CAM)Augmentation=+BG-Mixup (CAM), Evaluation protocol=Linear classifier, Training dataset=ImageNet-92021.07 | 31.38 | |
| BYOL + BG-HardMix (GT)Augmentation=+BG-HardMix (GT), Evaluation protocol=Linear classifier, Training dataset=ImageNet-92021.07 | 30.78 | |
| MoCov2 + BG-Mixup (CAM)Augmentation=+BG-Mixup (CAM), Evaluation protocol=Linear classifier, Training dataset=ImageNet-92021.07 | 29.28 | |
| MoCov2 + MixupAugmentation=Mixup [41], Evaluation protocol=Linear classifier, Training dataset=ImageNet-92021.07 | 28.53 | |
| MoCov2 + BG-HardMix (GT)Augmentation=+BG-HardMix (GT), Evaluation protocol=Linear classifier, Training dataset=ImageNet-92021.07 | 27.48 | |
| MoCov2 + CutMixAugmentation=CutMix [42], Evaluation protocol=Linear classifier, Training dataset=ImageNet-92021.07 | 26.87 | |
| BYOL + MixupAugmentation=Mixup [41], Evaluation protocol=Linear classifier, Training dataset=ImageNet-92021.07 | 25.97 | |
| BYOLAugmentation=Baseline, Evaluation protocol=Linear classifier, Training dataset=ImageNet-92021.07 | 25.38 | |
| MoCov2Augmentation=Baseline, Evaluation protocol=Linear classifier, Training dataset=ImageNet-92021.07 | 24.96 | |
| BYOL + CutMixAugmentation=CutMix [42], Evaluation protocol=Linear classifier, Training dataset=ImageNet-92021.07 | 22.22 |