Metric Depth Estimation on KITTI in-domain (test) benchmark leaderboard · SOTA2 Research

Metric Depth Estimation on KITTI in-domain (test)

98.9Acc (δ < 1.25)Metric3D v2

Evaluation Results

Method	Links
Metric3D v22024.03		98.9	99.8	100	0.039	1.766	0.06
Metric3D v22024.03		98.5	99.8	99.9	0.044	1.985	0.064
Depth Anything V22024.06		98.3	99.8	100	0.045	1.861	0.067
DepthAnything2024.03		98.2	99.8	100	0.046	1.869	0.069
Depth Anything V22024.06		97.9	99.8	100	0.048	1.999	0.072
NDDepth2024.06		97.8	99.8	99.9	0.05	2.025	0.075
IEBins2024.06		97.8	99.8	99.9	0.05	2.011	0.075
IEBins2024.03		97.8	99.8	99.9	0.05	2.011	0.075
SwinV22024.06		97.7	99.8	100	0.05	1.966	0.075
Metric3D v22024.03		97.7	99.6	99.9	0.051	2.403	0.08
GEDepth2024.06		97.6	99.7	99.9	0.048	2.044	0.076
NeWCRFs2024.06		97.4	99.7	99.9	0.052	2.129	0.079
NeWCRFs2024.03		97.4	99.7	99.9	0.052	2.129	0.079
Metric3D v22024.03		97.4	99.5	99.9	0.052	2.511	0.074
Depth Anything V22024.06		97.3	99.7	99.9	0.053	2.235	0.081
ZoeDepth2024.06		97.1	99.6	99.9	0.054	2.281	0.082
ZoeDepth2024.03		97.1	99.6	99.9	0.057	2.281	0.082
ZeroDepth2024.03		96.8	99.5	99.9	0.053	2.087	0.083
Metric3D v22024.03		96.7	99.5	99.9	0.06	2.843	0.087
AdaBins2024.06		96.4	99.5	99.9	0.058	2.36	0.088
Adabins2024.03		96.4	99.5	99.9	0.058	2.36	0.088
Metric3D v22024.03		96.4	99.3	99.8	0.058	2.77	0.092
TrDepth2024.03		95.6	99.4	99.9	0.064	2.755	0.098
P3Depth2024.06		95.3	99.3	99.8	0.071	2.842	0.103
VNL2024.03		93.8	99	99.8	0.072	3.258	0.117
ZeroDepth2024.03		91	98	99.6	0.102	4.044	0.172
Guo et al.2024.03		90.2	96.9	98.6	0.09	3.258	0.168