| image-classification-on-objectnet | RELICv2 | #69 | Top-1 Accuracy: 25.9 |
| image-classification-on-objectnet | RELIC | #73 | Top-1 Accuracy: 23.8 |
| image-classification-on-objectnet | BYOL | #74 | Top-1 Accuracy: 23 |
| image-classification-on-objectnet | SimCLR | #81 | Top-1 Accuracy: 14.6 |
| self-supervised-image-classification-on-imagenet | ReLICv2 (ResNet-200 x2) | #21 | Top 1 Accuracy: 80.6%Number of Params: 250M |
| self-supervised-image-classification-on-imagenet | ReLICv2 (ResNet200) | #26 | Top 1 Accuracy: 79.8%Number of Params: 63M |
| self-supervised-image-classification-on-imagenet | ReLICv2 (ResNet-50 4x) | #31 | Top 1 Accuracy: 79.4%Number of Params: 375M |
| self-supervised-image-classification-on-imagenet | ReLICv2 (ResNet152) | #32 | Top 1 Accuracy: 79.3%Number of Params: 58M |
| self-supervised-image-classification-on-imagenet | ReLICv2 (ResNet-50 x2) | #36 | Top 1 Accuracy: 79%Number of Params: 94M |
| self-supervised-image-classification-on-imagenet | ReLICv2 (ResNet101) | #39 | Top 1 Accuracy: 78.7%Number of Params: 44M |
| self-supervised-image-classification-on-imagenet | ReLICv2 (ResNet-50) | #51 | Top 1 Accuracy: 77.1%Number of Params: 25M |
| semantic-segmentation-on-cityscapes-val | ReLICv2 | #70 | mIoU: 75.2 |
| semantic-segmentation-on-cityscapes-val | BYOL | #73 | mIoU: 74.6 |
| semantic-segmentation-on-pascal-voc-2012-val | ReLICv2 | #12 | mIoU: 77.9% |
| semantic-segmentation-on-pascal-voc-2012-val | DetCon | #15 | mIoU: 77.3% |
| semantic-segmentation-on-pascal-voc-2012-val | BYOL | #18 | mIoU: 75.7% |
| semi-supervised-image-classification-on-1 | RELICv2 | #36 | Top 1 Accuracy: 58.1%Top 5 Accuracy: 81.3 |
| semi-supervised-image-classification-on-2 | RELICv2 (ResNet-50) | #33 | Top 1 Accuracy: 72.4%Top 5 Accuracy: 91.2% |