Image Classification on Stylized-ImageNet-9 (test)
22.95AccuracyBYOL + 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 | 22.95 | |
| MoCov2 + OA-Crop (GT)Model=MoCov2, Crop=OA-Crop (GT), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 22.18 | |
| MoCov2 + OA-Crop (CAM)Model=MoCov2, Crop=OA-Crop (CAM), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 20.5 | |
| BYOL + OA-Crop (CAM)Model=BYOL, Crop=OA-Crop (CAM), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 20.21 | |
| MoCov2 (Baseline)Model=MoCov2, Crop=Baseline, Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 18.94 | |
| BYOL (Baseline)Model=BYOL, Crop=Baseline, Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 17.91 |