Image Classification on ImageNet-R-9 (test)
36.28AccuracyBYOL + OA-Crop (GT)
Evaluation results
| Method | Links | |
|---|---|---|
| BYOL + OA-Crop (GT)Model=BYOL, Crop=OA-Crop (GT), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 36.28 | |
| MoCov2 + OA-Crop (GT)Model=MoCov2, Crop=OA-Crop (GT), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 33.68 | |
| BYOL + OA-Crop (CAM)Model=BYOL, Crop=OA-Crop (CAM), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 32.64 | |
| MoCov2 (Baseline)Model=MoCov2, Crop=Baseline, Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 32.4 | |
| MoCov2 + OA-Crop (CAM)Model=MoCov2, Crop=OA-Crop (CAM), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 32.35 | |
| BYOL (Baseline)Model=BYOL, Crop=Baseline, Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 32.13 |