Multi-task Learning Evaluation on ShapeNet Objective Set 2
0.95Spearman (az)Domain Expansion
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Domain Expansion2026.01 | 0.95 | 0.87 | 0.85 | 98 | 96 | 0.07 | 0.08 | 0.09 | 98 | 94 | 0.93 | |
| Nash-MTL2026.01 | 0.45 | 0.39 | 0.39 | 15 | 0 | 0.12 | 0.08 | 0.09 | 99 | 99 | 0.35 | |
| IMTL2026.01 | 0.39 | 0.18 | 0.16 | 99 | 0 | 0.15 | 0.11 | 0.13 | 99 | 99 | 0.28 | |
| FAMO2026.01 | 0.28 | 0.23 | 0.22 | 99 | 0 | 0.19 | 0.14 | 0.13 | 99 | 99 | 0.28 | |
| baseline2026.01 | 0.01 | 0.01 | 0.01 | 99 | 0 | 0.77 | 0.38 | 0.38 | 99 | 99 | 0.42 |