Image Classification on ImageNet-Sketch 9 (test)
51.52AccuracyBYOL + 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 | 51.52 | |
| MoCov2 + OA-Crop (GT)Model=MoCov2, Crop=OA-Crop (GT), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 46.85 | |
| BYOL + OA-Crop (CAM)Model=BYOL, Crop=OA-Crop (CAM), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 45.05 | |
| BYOL (Baseline)Model=BYOL, Crop=Baseline, Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 44.28 | |
| MoCov2 + OA-Crop (CAM)Model=MoCov2, Crop=OA-Crop (CAM), Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 43.11 | |
| MoCov2 (Baseline)Model=MoCov2, Crop=Baseline, Network=ResNet-50, Evaluation Protocol=Linear Classification2021.07 | 41.44 |