Monocular Depth Estimation on NYUv2 37 benchmark leaderboard · SOTA2 Research

Monocular Depth Estimation on NYUv2 37

0.275RMSEAiT-P

Evaluation Results

Method	Links
AiT-P2023.01		0.275	95.4	99.4	99.9	0.076	0.033
AiT-P2023.01		0.282	95.1	99.4	99.9	0.08	0.034
AiT2023.01		0.284	94.9	99.3	99.9	0.079	0.034
SwinV2-L2023.01		0.287	94.9	99.4	99.9	0.083	0.035
AiT-P2023.01		0.301	94	99.2	99.8	0.085	0.036
SwinV2-B2023.01		0.303	93.8	99.2	99.8	0.086	0.037
AiT2023.01		0.305	93.4	99.1	99.8	0.087	0.037
BinsFormer2023.01		0.33	92.5	98.9	99.7	0.094	0.04
NeWCRFs2023.01		0.334	92.2	99.2	99.8	0.095	0.041
BinsFormer2023.01		0.339	92.1	98.9	99.8	0.096	0.041
P3Depth2023.01		0.356	89.8	98.1	99.6	0.104	0.043
DPT2023.01		0.357	90.4	98.8	99.8	0.11	0.045
LocalBins2023.01		0.357	90.7	98.7	99.8	0.099	0.042
AdaBins2023.01		0.364	90.3	98.4	99.7	0.103	0.044
Unified-IO XL2023.01		0.385	—	—	—	—	—
BTS2023.01		0.392	88.5	97.8	99.5	0.11	0.047
UVIM2023.01		0.467	—	—	—	—	—
DORN2023.01		0.509	82.8	96.5	99.2	0.115	0.051