| building-change-detection-for-remote-sensing | MAE+MTP(ViT-L+RVSA) | #1 | F1: 92.67Params(M): 305 |
| building-change-detection-for-remote-sensing | IMP+MTP(InternImage-XL) | #2 | F1: 92.54Params(M): 335 |
| building-change-detection-for-remote-sensing | MAE+MTP(ViT-B+RVSA) | #5 | F1: 92.22Params(M): 86 |
| change-detection-for-remote-sensing-images-on | IMP+MTP(InternImage-XL) | #2 | F1-Score: 0.9833 |
| change-detection-for-remote-sensing-images-on | MAE+MTP(ViT-L+RVSA) | #3 | F1-Score: 0.9798 |
| change-detection-for-remote-sensing-images-on | MAE+MTP(ViT-B+RVSA) | #4 | F1-Score: 0.9787 |
| change-detection-on-cdd-dataset-season-1 | IMP+MTP(InternImage-XL) | #2 | F1-Score: 98.33 |
| change-detection-on-cdd-dataset-season-1 | MAE+MTP(ViT-L+RVSA) | #3 | F1-Score: 97.98 |
| change-detection-on-cdd-dataset-season-1 | MAE+MTP(ViT-B+RVSA) | #5 | F1-Score: 97.87 |
| change-detection-on-clcd | MTP (ViT-B + RVSA) | #2 | F1: 80.3 |
| change-detection-on-egy-bcd | MTP (VIT-B+RVSA) | #1 | F1: 85.9 |
| change-detection-on-gvlm | MTP (ViT-B + RVSA) | #3 | F1: 89.9 |
| change-detection-on-levir-cd | MAE+MTP(ViT-L+RVSA) | #2 | F1: 92.67 |
| change-detection-on-levir-cd | IMP+MTP(InternImage-XL) | #3 | F1: 92.54 |
| change-detection-on-levir-cd | MAE+MTP(ViT-B+RVSA) | #9 | F1: 92.22 |
| change-detection-on-oscd-3ch | MAE+MTP(ViT-L+RVSA) | #1 | F1: 55.92 |
| change-detection-on-oscd-3ch | IMP+MTP(InternImage-XL) | #2 | F1: 55.61 |
| change-detection-on-oscd-3ch | MAE+MTP(ViT-B+RVSA) | #4 | F1: 53.36 |
| change-detection-on-whu-building-dataset | IMP+MTP(InternImage-XL) | #1 | F1-score: 0.9559 |
| change-detection-on-whu-building-dataset | MAE+MTP(ViT-L+RVSA) | #3 | F1-score: 0.9475 |
| change-detection-on-whu-building-dataset | MAE+MTP(ViT-B+RVSA) | #5 | F1-score: 0.9432 |
| image-classification-on-eurosat | IMP+MTP(IntenImage-XL) | #2 | Accuracy (%): 99.24 |
| image-classification-on-eurosat | MAE+MTP(ViT-L+RVSA) | #9 | Accuracy (%): 98.78 |
| image-classification-on-eurosat | MAE+MTP(ViT-B+RVSA) | #10 | Accuracy (%): 98.76 |
| object-detection-in-aerial-images-on-dior | MAE+MTP(ViT-L+RVSA) | #1 | AP50: 81.1 |
| object-detection-in-aerial-images-on-dior | MAE+MTP(ViT-B+RVSA) | #2 | AP50: 79.4 |
| object-detection-in-aerial-images-on-dior | IMP+MTP(InternImage-XL) | #3 | AP50: 78.0 |
| object-detection-in-aerial-images-on-dior-r | MAE+MTP(ViT-L+RVSA) | #1 | mAP: 74.54 |
| object-detection-in-aerial-images-on-dior-r | IMP+MTP(InternImage-XL) | #2 | mAP: 72.17 |
| object-detection-in-aerial-images-on-dior-r | MAE+MTP(ViT-B+RVSA) | #3 | mAP: 71.29 |
| object-detection-in-aerial-images-on-dota-1 | MAE+MTP(ViT-L+RVSA) | #8 | mAP: 81.66% |
| object-detection-in-aerial-images-on-dota-1 | IMP+MTP(InternImage-XL) | #14 | mAP: 80.77% |
| object-detection-in-aerial-images-on-dota-1 | MAE+MTP(ViT-B+RVSA) | #16 | mAP: 80.67% |
| object-detection-in-aerial-images-on-fair1m-2 | MAE+MTP(ViT-L+RVSA) | #1 | mAP: 53.00 |
| object-detection-in-aerial-images-on-fair1m-2 | MAE+MTP(ViT-B+RVSA) | #2 | mAP: 51.92 |
| object-detection-in-aerial-images-on-fair1m-2 | IMP+MTP(InternImage-XL) | #3 | mAP: 50.93 |
| object-detection-in-aerial-images-on-xview | MAE+MTP(ViT-L+RVSA) | #1 | AP50: 19.4 |
| object-detection-in-aerial-images-on-xview | IMP+MTP(InternImage-XL) | #2 | AP50: 18.2 |
| object-detection-in-aerial-images-on-xview | MAE+MTP(ViT-B+RVSA) | #3 | AP50: 16.4 |
| semantic-segmentation-on-loveda | MAE+MTP(ViT-L+RVSA) | #4 | Category mIoU: 54.17 |
| semantic-segmentation-on-loveda | IMP+MTP(InternImage-XL) | #5 | Category mIoU: 54.17 |
| semantic-segmentation-on-loveda | MAE+MTP(ViT-B+RVSA) | #14 | Category mIoU: 52.39 |
| semantic-segmentation-on-spacenet-1 | MAE+MTP(ViT-L) | #1 | Mean IoU: 79.69 |
| semantic-segmentation-on-spacenet-1 | MAE+MTP(ViT-B+RVSA) | #2 | Mean IoU: 79.63 |
| semantic-segmentation-on-spacenet-1 | MAE+MTP(ViT-L+RVSA) | #3 | Mean IoU: 79.54 |
| semantic-segmentation-on-spacenet-1 | IMP+MTP(InternImage-XL) | #5 | Mean IoU: 79.16 |