Multi-task Learning (Semantic Segmentation, Surface Normals, Depth Estimation) on NYU v2
13.43HV ScoreDYMU
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| DYMUAdaptation=true, c value=0.0, Inference Params.=41.06M, GFLOPs=29.04, Control Params.=5.72M2022.03 | 13.43 | 0.76 | — | — | — | — | |
| DYMUAdaptation=true, c value=1.0, Inference Params.=34.68M, GFLOPs=25.98, Control Params.=5.72M2022.03 | 13.08 | 0.78 | — | — | — | — | |
| Single-TaskInference Params.=64.47M, GFLOPs=58.782022.03 | 12.83 | — | — | — | — | — | |
| DYMUAdaptation=false, c value=0.0, Inference Params.=41.06M, GFLOPs=29.04, Control Params.=0.03M2022.03 | 12.42 | 0.82 | — | — | — | — | |
| PHN-BNInference Params.=21.59M, GFLOPs=21.02, Control Params.=2.23M2022.03 | 11.72 | 0.73 | — | — | — | — | |
| DYMUAdaptation=false, c value=1.0, Inference Params.=34.68M, GFLOPs=25.98, Control Params.=0.03M2022.03 | 9.53 | 0.84 | — | — | — | — | |
| PHNInference Params.=21.59M, GFLOPs=21.02, Control Params.=21.04M2022.03 | 2.36 | 0.75 | — | — | — | — | |
| CSRelative Parameters (#P)=1.002025.12 | — | — | 41.77 | 0.492 | 26.15 | 1.98 | |
| HPSRelative Parameters (#P)=0.332025.12 | — | — | 42.17 | 0.502 | 26.63 | 1.07 | |
| MTANRelative Parameters (#P)=0.592025.12 | — | — | 43.12 | 0.508 | 25.44 | 3.14 | |
| STLRelative Parameters (#P)=1.002025.12 | — | — | 41.45 | 0.58 | 23.8 | 0 | |
| TSBNRelative Parameters (#P)=0.332025.12 | — | — | 43.47 | 0.494 | 25.32 | 4.42 | |
| TSσBNRelative Parameters (#P)=0.332025.12 | — | — | 43.75 | 0.484 | 24.09 | 6.93 |