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Monocular Depth Estimation on DDAD outdoor (test)

99Delta < 1.25^3 AccuracyLinear Fit
96.19296.92197.6598.379Jan 4, 2026

Evaluation results

MethodLinks
Linear FitBackbone=DPT-Hybrid, Scaling=Linear Fit, Train=DDAD (oracle)2026.01990.16310.342
OursBackbone=DPT-Hybrid, Scaling=Ours, Train=NYUv2, KITTI2026.0198.40.16712.847
Linear FitBackbone=DepthAnything-S, Scaling=Linear Fit, Train=DDAD (oracle)2026.0198.30.18218.423
RSABackbone=DPT-Hybrid, Scaling=RSA, Train=NYUv2, KITTI2026.0198.10.17113.539
OursBackbone=DepthAnything-S, Scaling=Ours, Train=NYUv2, KITTI2026.0197.90.19519.054
RSABackbone=DepthAnything-S, Scaling=RSA, Train=NYUv2, KITTI2026.0197.60.20719.715
ImageBackbone=DPT-Hybrid, Scaling=Image, Train=NYUv2, KITTI2026.0197.50.17914.468
GlobalBackbone=DPT-Hybrid, Scaling=Global, Train=NYUv2, KITTI2026.0196.90.18315.967
ImageBackbone=DepthAnything-S, Scaling=Image, Train=NYUv2, KITTI2026.0196.80.21720.834
GlobalBackbone=DepthAnything-S, Scaling=Global, Train=NYUv2, KITTI2026.0196.30.22121.345