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Models/Miangoleh et al. (MiDaS)

Miangoleh et al. (MiDaS)

Reported on 16 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Computer Vision8 results

Depth EstimationonIBims-1
D3R· 2021-05-28
0.4671
SOTA
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
Depth EstimationonIBims-1
ORD· 2021-05-28
0.5538
SOTA
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
Depth EstimationonIBims-1
RMSE· 2021-05-28
0.1965
best: 0.1598 (Miangoleh et al. (SGR))
SOTA
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
Depth EstimationonIBims-1
δ1.25· 2021-05-28
0.746
best: 0.969 (Metric3D-v2(L, ZS))
SOTA
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
Depth EstimationonMiddlebury 2014
RMSE· 2021-05-28
0.1557
SOTA
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
Depth EstimationonMiddlebury 2014
D3R· 2021-05-28
0.1578
best: 0.2324 (Miangoleh et al. (SGR))
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
Depth EstimationonMiddlebury 2014
ORD · 2021-05-28
0.3467
best: 0.3879 (Miangoleh et al. (SGR))
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
Depth EstimationonMiddlebury 2014
δ1.25· 2021-05-28
0.7406
best: 0.7891 (Miangoleh et al. (SGR))
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021

Methodology8 results

3DonIBims-1
D3R· 2021-05-28
0.4671
SOTA
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
3DonIBims-1
ORD· 2021-05-28
0.5538
SOTA
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
3DonIBims-1
RMSE· 2021-05-28
0.1965
best: 0.1598 (Miangoleh et al. (SGR))
SOTA
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
3DonIBims-1
δ1.25· 2021-05-28
0.746
best: 0.969 (Metric3D-v2(L, ZS))
SOTA
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
3DonMiddlebury 2014
RMSE· 2021-05-28
0.1557
SOTA
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
3DonMiddlebury 2014
D3R· 2021-05-28
0.1578
best: 0.2324 (Miangoleh et al. (SGR))
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
3DonMiddlebury 2014
ORD · 2021-05-28
0.3467
best: 0.3879 (Miangoleh et al. (SGR))
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021
3DonMiddlebury 2014
δ1.25· 2021-05-28
0.7406
best: 0.7891 (Miangoleh et al. (SGR))
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging arXiv:2105.14021