Awesome-RGBT-Fusion
✅ 近期有维护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.
773Stars
63Forks
+2近 7 天 Star
— · 许可证待核验 · 最近推送 2026-10-15
官方仓库与安装文档 ↗GitValue · 价值证据
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Star 历史
2025-09-292026-11-03
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| 日期 | Stars |
|---|---|
| 2026-10-05 | 764 |
| 2026-10-06 | 764 |
| 2026-10-07 | 764 |
| 2026-10-08 | 764 |
| 2026-10-09 | 764 |
| 2026-10-10 | 765 |
| 2026-10-11 | 765 |
| 2026-10-12 | 766 |
| 2026-10-13 | 766 |
| 2026-10-14 | 767 |
| 2026-10-15 | 767 |
| 2026-10-16 | 767 |
| 2026-10-17 | 767 |
| 2026-10-18 | 768 |
| 2026-10-19 | 768 |
| 2026-10-20 | 768 |
| 2026-10-21 | 769 |
| 2026-10-22 | 770 |
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| 2026-10-27 | 771 |
| 2026-10-28 | 771 |
| 2026-10-29 | 771 |
| 2026-10-30 | 771 |
| 2026-10-31 | 771 |
| 2026-11-01 | 772 |
| 2026-11-02 | 772 |
| 2026-11-03 | 773 |
获取项目
git clone https://github.com/yuanmaoxun/Awesome-RGBT-Fusion.git克隆仅获取源码；依赖与安装步骤请参照项目的 README.
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