Semantic Segmentation on YeSeg-OPT-SAR
85.33Overall Accuracy (OA)TSMNet
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| TSMNet2026.04 | 85.33 | 66.69 | 89.85 | 84.06 | 69.56 | 81.97 | 96.69 | 80.89 | 69.38 | |
| DenseCLIP2026.04 | 85.13 | 65.47 | 88.47 | 82.53 | 69.06 | 83.43 | 96.04 | 78.58 | 65.96 | |
| MSSNet2026.04 | 80.23 | 55.94 | 89.18 | 73.62 | 46.87 | 79.97 | 82.87 | 44.93 | 59.87 | |
| DDHRNet2026.04 | 79.05 | 53.22 | 81.92 | 68.94 | 35.33 | 67.76 | 87.73 | 38.33 | 46.12 | |
| CMGFNet2026.04 | 78.95 | 53.69 | 83.45 | 73.16 | 66.37 | 76.28 | 76.53 | 67.24 | 47.9 | |
| Deeplab v3+2026.04 | 78.42 | 51.89 | 82.07 | 79.32 | 58.6 | 69.92 | 92.37 | 64.92 | 42.52 | |
| TACOSS2026.04 | 77.66 | 56.08 | 73.33 | 57.67 | 39.84 | 65.59 | 77.53 | 44.85 | 40.05 | |
| MCANet2026.04 | 76.91 | 50.9 | 88.67 | 65.8 | 29.31 | 81.58 | 80.61 | 42.72 | 54.35 |