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SotA/Methodology/3D/NYU-Depth V2 self-supervised

3D on NYU-Depth V2 self-supervised

Metric: delta_2 (higher is better)

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#Model↕delta_2▼AugmentationsPaperDate↕Code
1IndoorDepth96.5NoDeeper into Self-Supervised Monocular Indoor Dep...2023-12-03Code
2DistDepth96.3NoToward Practical Monocular Indoor Depth Estimation2021-12-04Code
3MonoIndoor95.8NoMonoIndoor: Towards Good Practice of Self-Superv...2021-07-26-
4StrutDepth95.4NoStructDepth: Leveraging the structural regularit...2021-08-19Code
5P2Net+PP95.2NoP$^{2}$Net: Patch-match and Plane-regularization...2020-07-15Code
6Bian et al94NoUnsupervised Scale-consistent Depth Learning fro...2021-05-25Code
7Zhao et al91.2NoTowards Better Generalization: Joint Depth-Pose ...2020-04-03Code
8Zhou et al90NoMoving Indoor: Unsupervised Video Depth Learning...2019-10-20-