yuanmaoxun / Awesome-RGBT-Fusion

A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.

Date Created 2021-08-09 (2 years ago)

Commits 96 (last one 21 days ago)

Stargazers 243 (2 this week)

Watchers 4 (0 this week)

Forks 28

License unknown

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RepositoryStats indexes 528,822 repositories, of these yuanmaoxun/Awesome-RGBT-Fusion is ranked #145,489 (72nd percentile) for total stargazers, and #352,843 for total watchers.

yuanmaoxun/Awesome-RGBT-Fusion is also tagged with popular topics, for these it's ranked: deep-learning (#3,007/7776), papers (#92/184)

All Topics

rgb-t papers deep-learning rgbt-tracking feature-fusion rgbt-crowd-counting rgbt-vehicle-detection rgbt-pedestrian-detection rgbt-semantic-segmentation rgb-t-aerial-object-detection rgbt-salient-object-detection multispectral-pedestrian-detection

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

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updated: 2024-06-13 @ 01:34am, id: 394194930 / R_kgDOF37v8g