csiro-robotics / WildScenes

[IJRR2024 ACCEPTED] The official repository for the WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Natural Environments

Date Created 2023-12-20 (9 months ago)

Commits 49 (last one 3 days ago)

Stargazers 28 (0 this week)

Watchers 9 (0 this week)

Forks 3

License other

Ranking

RepositoryStats indexes 565,279 repositories, of these csiro-robotics/WildScenes is ranked #550,351 (3rd percentile) for total stargazers, and #221,230 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #107,819/111,292.

csiro-robotics/WildScenes is also tagged with popular topics, for these it's ranked: deep-learning (#8,062/8171), 3d (#1,128/1147), benchmark (#704/730), semantic-segmentation (#487/498), 2d (#292/295), lidar (#278/279)

Other Information

csiro-robotics/WildScenes has Github issues enabled, there are 3 open issues and 5 closed issues.

Homepage URL: https://csiro-robotics.github.io/WildScenes/

All Topics

2d 3d lidar benchmark pointcloud deep-learning mmsegmentation domain-adaptation natural-environments semantic-segmentation

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

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updated: 2024-09-26 @ 10:04am, id: 733707867 / R_kgDOK7t-Ww