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Models/GCNDepth

GCNDepth

Reported on 28 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Computer Vision14 results

Depth EstimationonKITTI
absolute relative error· 2021-12-13
0.104
best: 0.093 (MonoViT)
SOTA
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonMake3D
Abs Rel· 2021-12-13
0.424
SOTA
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonKITTI Eigen split
Delta < 1.25· 2021-12-13
0.888
best: 0.99 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonKITTI Eigen split
Delta < 1.25^2· 2021-12-13
0.965
best: 0.999 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonKITTI Eigen split
Delta < 1.25^3· 2021-12-13
0.984
best: 1 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonKITTI Eigen split
RMSE· 2021-12-13
4.494
best: 1.394 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonKITTI Eigen split
RMSE log· 2021-12-13
0.181
best: 0.048 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonKITTI Eigen split
absolute relative error· 2021-12-13
0.104
best: 0.029 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonMake3D
RMSE· 2021-12-13
6.757
best: 0.232 (AnyNet [88])
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonMake3D
Sq Rel· 2021-12-13
3.075
best: 4.9 (SharinGAN)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonKITTI Eigen split unsupervised
RMSE· 2021-12-13
4.494
best: 3.662 (SPIdepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonKITTI Eigen split unsupervised
RMSE log· 2021-12-13
0.181
best: 0.153 (SPIdepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonKITTI Eigen split unsupervised
Sq Rel· 2021-12-13
0.72
best: 0.785 (Dyna-DM)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
Depth EstimationonKITTI Eigen split unsupervised
absolute relative error· 2021-12-13
0.104
best: 0.071 (SPIdepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782

Methodology14 results

3DonKITTI
absolute relative error· 2021-12-13
0.104
best: 0.093 (MonoViT)
SOTA
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonMake3D
Abs Rel· 2021-12-13
0.424
SOTA
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonKITTI Eigen split
Delta < 1.25· 2021-12-13
0.888
best: 0.99 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonKITTI Eigen split
Delta < 1.25^2· 2021-12-13
0.965
best: 0.999 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonKITTI Eigen split
Delta < 1.25^3· 2021-12-13
0.984
best: 1 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonKITTI Eigen split
RMSE· 2021-12-13
4.494
best: 1.394 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonKITTI Eigen split
RMSE log· 2021-12-13
0.181
best: 0.048 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonKITTI Eigen split
absolute relative error· 2021-12-13
0.104
best: 0.029 (SPIDepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonMake3D
RMSE· 2021-12-13
6.757
best: 0.232 (AnyNet [88])
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonMake3D
Sq Rel· 2021-12-13
3.075
best: 4.9 (SharinGAN)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonKITTI Eigen split unsupervised
RMSE· 2021-12-13
4.494
best: 3.662 (SPIdepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonKITTI Eigen split unsupervised
RMSE log· 2021-12-13
0.181
best: 0.153 (SPIdepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonKITTI Eigen split unsupervised
Sq Rel· 2021-12-13
0.72
best: 0.785 (Dyna-DM)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782
3DonKITTI Eigen split unsupervised
absolute relative error· 2021-12-13
0.104
best: 0.071 (SPIdepth)
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network arXiv:2112.06782