Semantic Segmentation on PASCAL (train)
76.4mIoUMOCLR
Evaluation Results
| Method | Links | |
|---|---|---|
| MOCLRPre-training Dataset=ImageNet2022.10 | 76.4 | |
| VITOPre-training Dataset=VideoNet2022.10 | 76.3 | |
| BYOLPre-training Dataset=ImageNet2022.10 | 76.1 | |
| DINOPre-training Dataset=ImageNet2022.10 | 76.1 | |
| SupervisedPre-training Dataset=ImageNet2022.10 | 71.3 | |
| MMV TSMPre-training Dataset=AS + HT2022.10 | 70.6 | |
| CycleContrastPre-training Dataset=R2V22022.10 | 69.2 | |
| VINCEPre-training Dataset=R2V22022.10 | 69 | |
| VIVIPre-training Dataset=YT8M2022.10 | 65.8 | |
| VFSPre-training Dataset=K4002022.10 | 63.9 | |
| Random InitPre-training Dataset=None2022.10 | 53 |