Multi-Task Learning on PASCAL-Context and NYUD-v2 (clean and adverse conditions v1)
0.028Delta MADV (Adverse)
RobuMTL+
Updated 3d ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2026.01 | 0.028 | 0.135 | |
2026.01 | 0.0153 | 0.1221 | |
2026.01 | 0 | 0.1 | |
2026.01 | -0.026 | 0.077 | |
2026.01 | -0.045 | 0.057 | |
2026.01 | -0.078 | 0.022 | |
2026.01 | -0.084 | 0.018 | |
2026.01 | -0.089 | 0.01 | |
2026.01 | -0.098 | 0 | |
2026.01 | -0.115 | -0.018 | |
2026.01 | -0.13 | -0.035 | |
2026.01 | -0.13 | -0.036 | |
2026.01 | -0.133 | -0.038 | |
2026.01 | -0.133 | -0.037 | |
2026.01 | -0.185 | -0.097 | |
2026.01 | -0.24 | -0.097 | |
2026.01 | -0.247 | -0.154 | |
2026.01 | -0.483 | -0.43 | |
2026.01 | -0.614 | -0.539 |