alexklwong / learning-topology-synthetic-data

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

Date Created 2021-04-13 (3 years ago)

Commits 88 (last one about a year ago)

Stargazers 36 (0 this week)

Watchers 5 (0 this week)

Forks 6

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RepositoryStats indexes 579,555 repositories, of these alexklwong/learning-topology-synthetic-data is ranked #528,212 (9th percentile) for total stargazers, and #331,043 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #102,966/115,123.

alexklwong/learning-topology-synthetic-data is also tagged with popular topics, for these it's ranked: deep-learning (#7,856/8344), machine-learning (#7,417/7877), computer-vision (#2,825/3057), tensorflow (#2,161/2233), 3d-reconstruction (#361/386), depth-estimation (#149/157)

Other Information

alexklwong/learning-topology-synthetic-data has Github issues enabled, there is 1 open issue and 3 closed issues.

All Topics

ral icra ucla void depth kitti 3d-vision tensorflow deep-learning sensor-fusion computer-vision depth-completion depth-estimation machine-learning 3d-reconstruction unsupervised-learning self-supervised-learning

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updated: 2024-10-02 @ 08:51pm, id: 357674901 / R_kgDOFVGvlQ