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 595,856 repositories, of these alexklwong/learning-topology-synthetic-data is ranked #540,805 (9th percentile) for total stargazers, and #335,688 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #106,340/119,431.

alexklwong/learning-topology-synthetic-data is also tagged with popular topics, for these it's ranked: deep-learning (#8,007/8512), machine-learning (#7,564/8063), computer-vision (#2,898/3130), tensorflow (#2,178/2255), 3d-reconstruction (#382/406), depth-estimation (#155/167)

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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7 commits on the default branch (master) since jan '22

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