Self-supervised Monocular Depth Estimation on KITTI Eigen benchmark leaderboard · SOTA2 Research

Self-supervised Monocular Depth Estimation on KITTI Eigen

9.7Absolute Relative Error (Abs Rel)Proposed+MonoViT

Evaluation Results

Method	Links
Proposed+MonoViT2026.04		9.7	69.2	23.4	4.373	90	96.7
MonoViT2026.04		9.9	71	21.4	4.391	90	96.7
Lite-mono2026.04		10.1	72.9	19.3	4.454	89.7	96.5
Proposed+CADepth2026.04		10.3	74.1	17.9	4.515	89.3	96.4
CADepth2026.04		10.5	76.9	14.8	4.535	89.2	96.4
Wang et al.2026.04		10.6	79.9	11.5	4.662	88.9	96.1
Proposed+CADepth2026.04		10.7	74.8	17.1	4.614	88.4	96.2
HRDepth2026.04		10.9	79.2	12.2	4.632	88.4	96.2
Wang et al.2026.04		10.9	77.9	13.7	4.641	88.3	96.2
CADepth2026.04		11	81.2	10.1	4.686	88.2	96.2
Monodepth22026.04		11	83.1	8	4.642	88.3	96.2
Poggi et al2026.04		11.1	86.3	4.4	4.756	88.1	96.1
Patil et al2026.04		11.1	82.1	9.1	4.65	88.3	96.1
Proposed+Monodepth22026.04		11.2	79.8	11.6	4.701	88.2	96.1
Lee et al.2026.04		11.2	77.7	13.9	4.772	88	96.2
Zhang et al.2026.04		11.2	85.6	5.2	4.778	88	96.1
VC-Depth2026.04		11.2	81.6	9.6	4.715	88	96
SGDepth2026.04		11.2	83.3	7.7	4.688	88.4	96.1
SGDepth2026.04		11.3	83.5	7.5	4.693	87.9	96.1
Guizilini et al2026.04		11.3	83.1	8	4.663	87.8	97.1
Monodepth22026.04		11.5	90.3	—	4.863	87.7	95.9
Sun et al2026.04		11.7	86.3	4.4	4.813	87.1	95.9
Guizilini et al2026.04		11.7	85.4	5.4	4.714	87.3	96.3
Zhou et al2026.04		12.1	83.7	7.3	4.945	85.3	95.5