Depth Completion on KITTI-Depth benchmark leaderboard · SOTA2 Research

Depth Completion on KITTI-Depth

209.28MAECA-CSPN

Evaluation Results

Method
CA-CSPN2019.11	209.28	743.69	0.9	2.07
FN2019.11	215.02	772.87	0.93	2.19
Uber2019.11	221.19	752.88	1.14	2.34
DL2019.11	226.25	758.38	1.15	2.56
MS-Net[LF]-L2 (gd)2018.11	233.25	870.82	1.03	2.75
NC2019.11	233.26	829.98	1.03	2.6
StarryGazer2025.12	242.44	1,061.43	1.67	2.81
MS-Net[LF]-L2 (gd) w/o Output Confidence2018.11	244.87	919.55	1.09	2.97
MS-Net[LF]-L2 (gd) (end-to-end)2018.11	244.98	886.09	1.11	3.02
MS-Net[LF]-L2 (gd) w/o Depth Refinement2018.11	245.11	912.82	1.1	3.03
StD2019.11	249.95	814.73	1.21	2.8
KBNet2025.12	258.36	1,068.07	1.03	3.01
CSPN2019.11	279.46	1,019.64	1.15	2.93
SynthProj2025.12	280.42	1,095.26	1.19	3.53
ScaffNet2025.12	280.76	1,121.93	1.15	3.3
AdaFrame2025.12	291.62	1,125.67	1.16	3.32
VOICED2025.12	299.41	1,169.97	1.2	3.56
DDP2025.12	343.46	1,263.19	1.32	3.58
SS-S2D2025.12	350.32	1,299.85	1.57	4.07
DFuseNet2025.12	429.93	1,206.66	1.79	3.62
SC2019.11	481.27	1,601.33	1.78	4.94
DA2025.12	1,794.08	3,332.65	15.6	35.54
Metric3D V22025.12	3,257.82	4,714.9	38.91	47.48
Metric3D V22025.12	3,856.7	7,903.73	51.67	76.48
DA2025.12	3,877.73	5,520.75	147.69	6,906.6
UniDepth V22025.12	6,155.49	7,783.78	31.92	35.87
UniDepth V22025.12	7,060.72	9,595.91	36.16	44.95