LoveDA
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | LoveDA | mIoU64 | 166 | |
| Semantic Segmentation | LoveDA | mIoU62.97 | 92 | |
| Semantic Segmentation | LoveDA (test) | mIoU55.5 | 81 | |
| Open-Vocabulary Segmentation | LoveDA | mIoU50 | 21 | |
| Semantic Segmentation | LoveDA Cross-Style | mIoU59.11 | 16 | |
| Open-Vocabulary Segmentation | LoveDA (test) | mIoU49.4 | 14 | |
| Class-Incremental Semantic Segmentation | LoveDA domain-incremental protocol | mIoU (All)63.7 | 12 | |
| Semantic Segmentation | LoveDA RGB-Only | mIoU39.72 | 12 | |
| Interactive Segmentation | LoveDA (test) | NoC (80%)5.3 | 12 | |
| Semantic Segmentation | LOVEDA 5k | OA79.82 | 7 | |
| Super-Resolution | LoveDA (val) | PSNR26.88 | 6 | |
| Remote Sensing | LoveDA (test) | mIoU54.1 | 6 | |
| Image Classification | LoveDA Urban (test) | Accuracy29 | 4 | |
| Semantic Segmentation | LoveDA Rural cross-sensor (test) | mIoU29.8 | 4 | |
| Semantic Segmentation | LoveDA | Overall Accuracy (OA)64.57 | 3 | |
| Satellite Image Segmentation | LoveDA (test) | mIoU (Test)50.21 | 3 | |
| Image Generation | LoveDA 1.0 (test) | FID13.87 | 3 | |
| Semantic Segmentation | LoveDA (val) | IoU48.97 | 3 |
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