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Models/GEDepth

GEDepth

Reported on 22 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Computer Vision11 results

Depth EstimationonDDAD
RMSE· 2023-09-18
10.596
best: 4.6 (AFNet)
SOTA
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
Depth EstimationonDDAD
RMSE log· 2023-09-18
0.237
best: 0.154 (AFNet)
SOTA
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
Depth EstimationonDDAD
Sq Rel· 2023-09-18
2.119
best: 3.591 (TransDSSL)
SOTA
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
Depth EstimationonDDAD
absolute relative error· 2023-09-18
0.145
best: 0.088 (AFNet)
SOTA
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
Depth EstimationonKITTI Eigen split
Delta < 1.25· 2023-09-18
0.9763
best: 0.99 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
Depth EstimationonKITTI Eigen split
Delta < 1.25^2· 2023-09-18
0.9972
best: 0.999 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
Depth EstimationonKITTI Eigen split
Delta < 1.25^3· 2023-09-18
0.9993
best: 1 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
Depth EstimationonKITTI Eigen split
RMSE· 2023-09-18
2.044
best: 1.394 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
Depth EstimationonKITTI Eigen split
RMSE log· 2023-09-18
0.076
best: 0.048 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
Depth EstimationonKITTI Eigen split
Sq Rel· 2023-09-18
0.142
best: 0.224 (SfM-Revisited)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
Depth EstimationonKITTI Eigen split
absolute relative error· 2023-09-18
0.048
best: 0.029 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975

Methodology11 results

3DonDDAD
RMSE· 2023-09-18
10.596
best: 4.6 (AFNet)
SOTA
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
3DonDDAD
RMSE log· 2023-09-18
0.237
best: 0.154 (AFNet)
SOTA
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
3DonDDAD
Sq Rel· 2023-09-18
2.119
best: 3.591 (TransDSSL)
SOTA
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
3DonDDAD
absolute relative error· 2023-09-18
0.145
best: 0.088 (AFNet)
SOTA
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
3DonKITTI Eigen split
Delta < 1.25· 2023-09-18
0.9763
best: 0.99 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
3DonKITTI Eigen split
Delta < 1.25^2· 2023-09-18
0.9972
best: 0.999 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
3DonKITTI Eigen split
Delta < 1.25^3· 2023-09-18
0.9993
best: 1 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
3DonKITTI Eigen split
RMSE· 2023-09-18
2.044
best: 1.394 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
3DonKITTI Eigen split
RMSE log· 2023-09-18
0.076
best: 0.048 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
3DonKITTI Eigen split
Sq Rel· 2023-09-18
0.142
best: 0.224 (SfM-Revisited)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975
3DonKITTI Eigen split
absolute relative error· 2023-09-18
0.048
best: 0.029 (SPIDepth)
GEDepth: Ground Embedding for Monocular Depth Estimation arXiv:2309.09975