| adversarial-robustness-on-imagenet-c | FastViT-MA36 | #4 | mean Corruption Error (mCE): 49.9 |
| 3d-hand-pose-estimation-on-freihand | FastViT-MA36 | #13 | PA-MPJPE: 6.6PA-MPVPE: 6.7PA-F@5mm: 0.722PA-F@15mm: 0.981 |
| domain-generalization-on-imagenet-sketch | FastViT-MA36 | #21 | Top-1 accuracy: 36.6 |
| instance-segmentation-on-coco-minival | FastViT-MA36 + Mask R-CNN | #88 | mask AP: 40.5 |
| semantic-segmentation-on-ade20k | FastViT-MA36 | #248 | Mean IoU (class): 44.6 |
| semantic-segmentation-on-ade20k | FastViT-SA36 | #249 | Mean IoU (class): 42.9 |
| semantic-segmentation-on-ade20k | FastViT-SA24 | #250 | Mean IoU (class): 41 |
| semantic-segmentation-on-ade20k | FastViT-SA12 | #251 | Mean IoU (class): 38 |
| image-classification-on-imagenet | FastViT-MA36 | #298 | Top 1 Accuracy: 84.9% |
| image-classification-on-imagenet | FastViT-SA36 | #338 | Top 1 Accuracy: 84.5% |
| image-classification-on-imagenet | FastViT-SA24 | #556 | Top 1 Accuracy: 82.6% |
| image-classification-on-imagenet | FastViT-SA12 | #732 | Top 1 Accuracy: 80.6% |
| image-classification-on-imagenet | FastViT-S12 | #778 | Top 1 Accuracy: 79.8% |
| image-classification-on-imagenet | FastViT-T12 | #820 | Top 1 Accuracy: 79.1% |
| image-classification-on-imagenet | FastViT-T8 | #984 | Top 1 Accuracy: 75.6% |
| object-detection-on-coco-val2017 | FastViT-MA36 + Mask R-CNN | #308 | box AP: 45.1 |