yuanmaoxun

Awesome-RGBT-Fusion

Recently maintained

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.

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Star history & growth

Observed snapshots only. Missing observations are not invented.

773 ★49 observations
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Get the source & start here

Cloning downloads source; follow official setup and dependency instructions.

git clone https://github.com/yuanmaoxun/Awesome-RGBT-Fusion.git
READMEgithub.dev

About this project

What is 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.

How do I get started?

Clone with git clone https://github.com/yuanmaoxun/Awesome-RGBT-Fusion.git. Cloning is not a complete installation; follow the official README for dependencies, hosts and usage.

Can I use it commercially?

Current license information: License unverified. Review the original terms, dependencies and your intended use.

What do maintenance and growth indicate?

Current status: Recently maintained. Activity is not a security audit. Growth uses collected snapshots; missing baselines are not estimated.