HDN

Reported on 4 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision2 results

Depth EstimationonETH3D
absolute relative error· 2022-10-18
0.0121
SOTA
Hierarchical Normalization for Robust Monocular Depth Estimation arXiv:2210.09670
Depth EstimationonETH3D
Delta < 1.25· 2022-10-18
0.0833
best: 0.981 (Distill Any Depth)
Hierarchical Normalization for Robust Monocular Depth Estimation arXiv:2210.09670

Methodology2 results

3DonETH3D
absolute relative error· 2022-10-18
0.0121
SOTA
Hierarchical Normalization for Robust Monocular Depth Estimation arXiv:2210.09670
3DonETH3D
Delta < 1.25· 2022-10-18
0.0833
best: 0.981 (Distill Any Depth)
Hierarchical Normalization for Robust Monocular Depth Estimation arXiv:2210.09670