| change-detection-on-whu-cd | CLAFA-LWGANet L2 | #1 | F1: 95.24Precision: 96.51IoU: 90.92 |
| image-classification-on-resisc45 | LWGANet L2 | #2 | Top 1 Accuracy: 96.17 |
| image-classification-on-resisc45 | LWGANet L1 | #4 | Top 1 Accuracy: 95.70 |
| image-classification-on-resisc45 | LWGANet L0 | #6 | Top 1 Accuracy: 95.49 |
| change-detection-on-sysu-cd | LWGANet-L0 + A2Net (extra data) | #3 | F1: 83.41 |
| semantic-segmentation-on-uavid | LWGANet L2 | #5 | Mean IoU: 69.1 |
| change-detection-on-levir-cd | CLAFA-LWGANet L2 | #6 | F1: 92.42IoU: 85.90F1-score: 92.42Precision: 93.25 |
| object-detection-in-aerial-images-on-dior-r | LWGANet L2 | #8 | mAP: 68.53 |
| semantic-segmentation-on-loveda | LWGANet L2 | #9 | Category mIoU: 53.6 |
| change-detection-on-cdd-season-varying | LWGANet-L2 + CLAFA (extra data) | #18 | F1-Score: 93.77 |
| object-detection-in-aerial-images-on-dota | LWGANet L2 | #32 | mAP: 78.64 |