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Depth Prediction research benchmarks · SOTA2 Research

Depth Prediction

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

NYU-depth v2 (test)

99.5Accuracy (δ < 1.25)

113

Feb 26, 2026

Cityscapes (test)

Pilzer et al. (Row 1)

5.443RMSE

52

May 6, 2026

KITTI original ground truth (test)

0.096Abs Rel

38

Feb 26, 2026

DiT-based Diffusion for Perceptual Tasks

4.8AbsRel

37

Mar 24, 2026

0.253AbsRel

32

Feb 26, 2026

KITTI original (Eigen split)

FusionDepth (Refined Depth + GDC)

0.063Abs Rel

29

Feb 26, 2026

Make3D C1 (test)

0.062Log10 Error (log10)

27

Feb 26, 2026

0.52Absolute Error

21

Mar 10, 2026

OctoSense night (test)

Late-fusion MAE (w/o RGB)

5.99RMSE (m)

16

Jun 26, 2026

OctoSense day (test)

Late-fusion MAE (w/o IMU)

4.67RMSE (m)

16

Jun 26, 2026

92.3Delta-1 Accuracy

16

Feb 26, 2026

KITTI improved ground truth 2015 (test)

0.07Abs Rel

15

Feb 26, 2026

KITTI depth prediction benchmark

11.77SILog

11

Feb 26, 2026

Synthetic (test)

80.6Delta 1 Accuracy

9

Feb 26, 2026

19.2AbsRel

9

Feb 26, 2026

28.3WHDR

9

Feb 26, 2026

0.015Abs Error

9

Feb 27, 2026

KITTI depth prediction benchmark 2015 (test)

11.77SILog

9

Feb 26, 2026

Taskonomy Tiny (test)

0.022Depth Error

8

Feb 27, 2026

FuturePerception

0.043RMSE

7

Jun 30, 2026

14AbsRel

7

Feb 26, 2026

KITTI private official (test)

8.13SILog

7

Feb 26, 2026

Make3D C2 (test)

0.198Relative Error

7

Feb 26, 2026

0.02AbsR

6

Jun 17, 2026

nuScenes frontal (val)

0.73MAE (0-20m)

5

Feb 26, 2026

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