Monocular Depth Estimation on KITTI Raw (Eigen) benchmark leaderboard · SOTA2 Research

Monocular Depth Estimation on KITTI Raw (Eigen)

8.6Abs RelSCIPaD

Evaluation Results

Method	Links
SCIPaD2024.07		8.6	0.636	4.006	0.165	92.2	96.8	98.4
ManyDepth2024.07		8.7	0.685	4.142	0.167	92	96.8	98.3
SQLdepth2024.07		8.7	0.659	4.096	0.165	92	97	98.4
SCIPaD2024.07		9	0.65	4.056	0.166	91.8	97	98.5
SQLdepth2024.07		9.1	0.713	4.204	0.169	91.4	96.8	98.4
TriDepth2024.07		9.3	0.665	4.272	0.172	90.7	96.7	98.4
DynamicDepth2024.07		9.6	0.72	4.458	0.175	89.7	96.4	98.4
MonoViT-tiny2024.07		9.6	0.714	4.292	0.172	90.8	96.8	98.4
DIFFNet2024.07		9.7	0.722	4.435	0.174	90.7	96.7	98.4
Lite-Mono-8M2024.07		9.7	0.71	4.309	0.174	90.5	96.7	98.4
ManyDepth2024.07		9.8	0.77	4.459	0.176	90	96.5	98.3
Lite-Mono-8M2024.07		10.1	0.729	4.454	0.178	89.7	96.5	98.3
HR-Depth2024.07		10.1	0.716	4.395	0.179	89.9	96.6	98.3
DIFFNet2024.07		10.2	0.764	4.483	0.18	89	96.4	98.3
MonoViT-tiny2024.07		10.2	0.733	4.459	0.177	89.5	96.5	98.4
Monodepth22024.07		10.6	0.818	4.75	0.196	87.4	95.7	97.9
Swin-Depth2024.07		10.6	0.739	4.51	0.182	89	96.4	98.4
Monodepth22024.07		10.6	0.806	4.63	0.193	87.6	95.8	98
HR-Depth2024.07		10.7	0.785	4.612	0.185	88.7	96.2	98.2
Lite-Mono2024.07		10.7	0.765	4.561	0.183	88.6	96.3	98.3
PackNet-SfM2024.07		11.1	0.785	4.601	0.189	87.8	96	98.2
Dynamo-Depth2024.07		11.2	0.758	4.505	0.183	87.3	95.9	98.4
SC-DepthV32024.07		11.8	0.756	4.709	0.188	86.4	96	98.4