Depth Estimation on Cityscapes-C Robustness benchmark (test) benchmark leaderboard · SOTA2 Research

Depth Estimation on Cityscapes-C Robustness benchmark (test)

0.0181Absolute Error (Abs Err)RepMTL

Evaluation Results

Method	Links
RepMTL2026.06		0.0181	51.5
CORE-MTL2026.06		0.0182	38.1
FairGrad2026.06		0.0188	54.46
STCH2026.06		0.0192	54.57
RLW2026.06		0.0212	56.82
GradNorm2026.06		0.0213	59.04
MTAN2026.06		0.0218	56.55
PCGrad2026.06		0.023	59.2
ExcessMTL2026.06		0.0233	60.28
Equal Weighting2026.06		0.0239	58.75
MOML2026.06		0.0239	54.01