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Research map / 3D vision / Depth and stereo

Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction

CVPR 2019 · 3D vision › Depth and stereo · approach: Self-supervised monocular depth · 100 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the full adaptive-regularization and bilateral-cyclic-consistency objective (ablation)KITTI 2015 stereo-unsupervised model · KITTI 2015 splitD1-all: 30.318 -> 28.142Helped
Add adaptive regularization (ablation)Godard et al. model · KITTI 2015 splitD1-all: 30.272 -> 30.132Helped
Add bilateral cyclic consistency instead of left-right consistency (ablation)Model with adaptive regularization and Laplacian edge weights · KITTI 2015 splitD1-all: 29.536 -> 28.142Helped
Use bidirectional Laplacian-based edge awareness rather than image-gradient edge weights (ablation)Model with adaptive regularization and bilateral cyclic consistency · KITTI 2015 splitD1-all: 28.942 -> 28.142Helped
Use the two-branch decoder (ablation)Ours Full Model · KITTI 2015 splitD1-all: 28.142 -> 27.149Helped
Add the two-branch decoder (ablation)Ours Full Model · KITTI Eigen Split, 80mAbsRel: 0.135 -> 0.133Helped
Add the two-branch decoder (ablation)Ours Full Model · KITTI Eigen Split, 50mAbsRel: 0.128 -> 0.126Helped

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