Multi-task Learning on NYUD v2 (mIoU, RMSE, odsF)
42.59mIoU (Semantic Segmentation)
Single Task
Updated 1mo ago
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
2026.03 | 42.59 | 66.08 | 59.8 | 22.58 | 0 | |
2026.03 | 42.26 | 64.08 | 59.4 | 23.41 | -0.52 | |
2026.03 | 42.07 | 65.36 | 58.8 | 23.74 | -1.73 | |
2025.09 | 41.92 | 0.6319 | - | 25.27 | 1.68 | |
2025.09 | 41.89 | 0.6236 | - | 24.45 | 0.12 | |
| 41.86 | 0.6295 | - | 24.57 | 0.63 | ||
| 41.85 | 0.6322 | - | 24.01 | 0 | ||
2025.09 | 41.84 | 0.6177 | - | 24.38 | 0.24 | |
2026.03 | 41.8 | 66.67 | 58.8 | 24.67 | -3.41 | |
2025.09 | 41.52 | 0.6212 | - | 24.99 | 1.04 | |
2026.03 | 41.37 | 64.1 | 58.5 | 24.54 | -2.68 | |
2025.09 | 41.17 | 0.6217 | - | 24.75 | 1.01 | |
2026.03 | 41.11 | 65.49 | 58.3 | 24.55 | -3.45 | |
2025.09 | 41.05 | 0.6231 | - | 25.01 | 1.54 | |
2026.03 | 40.9 | 67.15 | 58.5 | 25.06 | -4.68 | |
2026.03 | 37.36 | 75 | 57.1 | 28.63 | -14.27 | |
2025.09 | 35.97 | 0.8008 | - | 32.63 | 25.54 | |
2026.03 | 34.34 | 84.47 | 57.4 | 32.93 | -24.26 |