robot-learning-freiburg / Batch3DMOT

3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. http://batch3dmot.cs.uni-freiburg.de

Date Created 2022-03-14 (2 years ago)

Commits 14 (last one about a year ago)

Stargazers 32 (0 this week)

Watchers 4 (0 this week)

Forks 2

License gpl-3.0

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RepositoryStats indexes 579,238 repositories, of these robot-learning-freiburg/Batch3DMOT is ranked #550,618 (5th percentile) for total stargazers, and #371,611 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #108,190/115,001.

robot-learning-freiburg/Batch3DMOT is also tagged with popular topics, for these it's ranked: computer-vision (#2,918/3052), robotics (#1,192/1234), graph-neural-networks (#544/568), autonomous-driving (#374/392), tracking (#339/352)

Other Information

robot-learning-freiburg/Batch3DMOT has Github issues enabled, there are 3 open issues and 1 closed issue.

All Topics

kitti 3d-mot megvii offline labeling nuscenes robotics tracking centerpoint computer-vision self-driving-car autonomous-driving graphneuralnetwork graph-neural-networks

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14 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

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updated: 2024-11-07 @ 10:58am, id: 469685057 / R_kgDOG_7TQQ