| domain-generalization-on-vizwiz-classification | VOLO-D5 | #1 | Accuracy - All Images: 57.2Accuracy - Corrupted Images: 51.8… |
| semantic-segmentation-on-cityscapes-val | VOLO-D4 (MS, ImageNet1k pretrain) | #16 | mIoU: 84.3 |
| image-classification-on-imagenet-real | VOLO-D5 | #18 | Accuracy: 90.6% |
| image-classification-on-imagenet-real | VOLO-D4 | #21 | Accuracy: 90.5% |
| image-classification-on-imagenet-v2 | VOLO-D5 | #23 | Top 1 Accuracy: 78 |
| image-classification-on-imagenet-v2 | VOLO-D4 | #24 | Top 1 Accuracy: 77.8 |
| semantic-segmentation-on-ade20k | VOLO-D5 | #64 | Validation mIoU: 54.3 |
| image-classification-on-imagenet | VOLO-D5 | #111 | Top 1 Accuracy: 87.1%Number of params: 296MGFLOPs: 412 |
| image-classification-on-imagenet | VOLO-D4 | #130 | Top 1 Accuracy: 86.8%Number of params: 193MGFLOPs: 197 |
| image-classification-on-imagenet | VOLO-D3 | #169 | Top 1 Accuracy: 86.3%Number of params: 86MGFLOPs: 67.9 |
| image-classification-on-imagenet | VOLO-D2 | #191 | Top 1 Accuracy: 86%Number of params: 59M |
| image-classification-on-imagenet | VOLO-D1 | #264 | Top 1 Accuracy: 85.2%Number of params: 27M |