Image Classification on ImageNet-C-9 (test)
31.65AccuracyBYOL + 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 | 31.65 | |
| BYOL + OA-Crop (CAM)Model=BYOL, Crop=OA-Crop (CAM), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 28.7 | |
| MoCov2 + OA-Crop (CAM)Model=MoCov2, Crop=OA-Crop (CAM), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 27.85 | |
| BYOL (Baseline)Model=BYOL, Crop=Baseline, Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 27.51 | |
| MoCov2 + OA-Crop (GT)Model=MoCov2, Crop=OA-Crop (GT), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 26.81 | |
| MoCov2 (Baseline)Model=MoCov2, Crop=Baseline, Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 26.08 |