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Depth Estimation on Cityscapes (Abs Err, Rel Err, MR, Δk%)

0.0125Absolute ErrorSTL
0.0117640.0167320.02170.026668Mar 8, 2026Mar 11, 2026Mar 14, 2026Mar 17, 2026Mar 20, 2026Mar 23, 2026Mar 27, 2026

Evaluation results

MethodLinks
STL2026.030.012527.77———
STL2026.030.012527.77———
Nash-MTL2026.030.012935.0236.82—
IMTL-G2026.030.013538.415.7511.1—
SDMGrad2026.030.013734.016.57.79—
MARIGOLD2026.030.013934.791.758.62—
MARIGOLD2026.030.013934.795.258.62—
UW2026.030.01430.133.255.89—
UW2026.030.01430.1395.89—
FAMOrerun=true2026.030.01435.789.759.92—
CAGrad2026.030.014137.68.7511.64—
FAMO2026.030.014532.5998.13—
MoCo2026.030.014934.194.59.9—
PCGrad2026.030.015442.0710.2518.29—
EWCBackbone=Resnet-502026.030.015441.47253.5—3.41
LS2026.030.015546.773.522.6—
LS2026.030.015546.7710.2522.6—
Joint trainingBackbone=Resnet-502026.030.015545.71623—4.26
SPGBackbone=Resnet-502026.030.015544.70246—4.55
GradDrop2026.030.015747.54923.73—
SGPBackbone=Resnet-502026.030.015743.80874.5—0.61
RLW2026.030.015847.794.524.38—
RLW2026.030.015847.791324.38—
MoDo2026.030.015941.5112.518.89—
DERBackbone=Resnet-502026.030.015946.53416—1.7
DWA2026.030.01644.37321.45—
DWA2026.030.01644.371021.45—
SI2026.030.016133.83514.11—
SI2026.030.016133.831314.11—
HADBackbone=Resnet-502026.030.016544.27493.5—3.65
iCaRLBackbone=Resnet-502026.030.016647.39697—0.22
Vanilla trainingBackbone=Resnet-502026.030.016840.06045.5—0
LwFBackbone=Resnet-502026.030.017543.50945—2.42
MGDA2026.030.030933.513.544.14—