Surface Normal Estimation on NYUv2 (val)
13.81mAEM2H
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| M2Hchannels=2562025.10 | 13.81 | — | — | — | — | |
| M2H-smallchannels=642025.10 | 14.04 | — | — | — | — | |
| MTMamba++2025.10 | 18.27 | — | — | — | — | |
| MLoRE2025.10 | 18.33 | — | — | — | — | |
| TaskPrompter2025.10 | 18.47 | — | — | — | — | |
| MTMamba2025.10 | 18.63 | — | — | — | — | |
| InvPT2025.10 | 19.04 | — | — | — | — | |
| InvPt+Bi-MTPD-C2025.10 | 19.5 | — | — | — | — | |
| MQTransformer2025.10 | 19.67 | — | — | — | — | |
| ATRC2025.10 | 20.18 | — | — | — | — | |
| MTI-Net2025.10 | 20.27 | — | — | — | — | |
| StableMTLLabel Regime=Random2025.06 | 21.91 | — | — | — | — | |
| StableMTLLabel Regime=One2025.06 | 22.45 | — | — | — | — | |
| DiffusionMTLLabel Regime=Random2025.06 | 24.75 | — | — | — | — | |
| DiffusionMTLLabel Regime=One2025.06 | 25.84 | — | — | — | — | |
| FairGradBackbone=ResNet50, Audit Protocol=shared fixed-δ auditing, Number of seeds=72026.06 | 28.9833 | — | — | — | — | |
| JTRLabel Regime=Random2025.06 | 29.44 | — | — | — | — | |
| UncertaintyBackbone=ResNet50, Audit Protocol=shared fixed-δ auditing, Number of seeds=72026.06 | 29.6318 | — | — | — | — | |
| ReLiFBackbone=ResNet50, Audit Protocol=shared fixed-δ auditing, Number of seeds=72026.06 | 29.6527 | — | — | — | — | |
| GradNormBackbone=ResNet50, Audit Protocol=shared fixed-δ auditing, Number of seeds=72026.06 | 29.783 | — | — | — | — | |
| ERMBackbone=ResNet50, Audit Protocol=shared fixed-δ auditing, Number of seeds=72026.06 | 29.8199 | — | — | — | — | |
| CATSBackbone=ResNet50, Audit Protocol=shared fixed-δ auditing, Number of seeds=72026.06 | 30.3028 | — | — | — | — | |
| PCGradBackbone=ResNet50, Audit Protocol=shared fixed-δ auditing, Number of seeds=72026.06 | 30.305 | — | — | — | — | |
| JTRLabel Regime=One2025.06 | 30.8 | — | — | — | — | |
| MTPSLLabel Regime=Random2025.06 | 31.2 | — | — | — | — | |
| MTPSLLabel Regime=One2025.06 | 32.08 | — | — | — | — | |
| DINO2-B14Train Data=LVD*, Backbone=B14, Probing Technique=Linear probe2026.04 | — | 26.56 | 34.33 | 66.01 | 77.71 | |
| DINO2-B14 + FlowFeatTrain Data=+ Kinetics, Backbone=B14, Probing Technique=Linear probe2026.04 | — | 26.28 | 35.6 | 67.01 | 78.46 | |
| DINO2-B14 + LILATrain Data=+ YT-VOS, Backbone=B14, Probing Technique=Linear probe2026.04 | — | 25.71 | 37.13 | 68.01 | 79.24 | |
| DINO2-L14Train Data=LVD*, Backbone=L14, Probing Technique=Linear probe2026.04 | — | 24.7 | 39.89 | 70.73 | 81.17 | |
| DINO2-L14 + LILATrain Data=+ YT-VOS, Backbone=L14, Probing Technique=Linear probe2026.04 | — | 24.12 | 40.53 | 71.78 | 82.2 | |
| DINO2-L14 + LILATrain Data=+ Kinetics, Backbone=L14, Probing Technique=Linear probe2026.04 | — | 24.04 | 40.89 | 71.82 | 82.34 | |
| DINO2-S14Train Data=LVD*, Backbone=S14, Probing Technique=Linear probe2026.04 | — | 29.71 | 26.91 | 57.72 | 71.29 | |
| DINO2-S14 + FlowFeatTrain Data=+ YT-VOS, Backbone=S14, Probing Technique=Linear probe2026.04 | — | 29.04 | 27.89 | 58.86 | 72.35 | |
| DINO2-S14 + LILATrain Data=+ YT-VOS, Backbone=S14, Probing Technique=Linear probe2026.04 | — | 28.53 | 31.14 | 61.36 | 74.01 |