| fine-grained-image-classification-on-caltech | ViT-S/16 (RPE w/ GAB) | #11 | Top-1 Error Rate: 9.798% |
| fine-grained-image-classification-on-stanford-1 | ViT-B/16 (RPE w/ GAB) | #12 | Accuracy: 90.185% |
| image-classification-on-imagenet | ViT-B/16 (RPE w/ GAB) | #615 | Top 1 Accuracy: 81.484% |
| image-classification-on-stanford-cars | ViT-B/16 (RPE w/ GAB) | #7 | Accuracy: 93.743 |
| image-classification-on-stanford-cars | ViT-M/16 (RPE w/ GAB) | #20 | Accuracy: 83.89 |
| object-detection-on-coco | Swin-S (RPE w/ GAB) | #107 | box mAP: 48.23 |
| semantic-segmentation-on-ade20k-val | Swin-S (RPE w/ GAB) | #65 | mIoU: 46.41 |