XinyiYing/RGBT-Tiny

RGB-T Fusion, RGB-T SOD, RGB-T Vehicle Detection, RGB-T Crowd Counting, RGB-T Pedestrian Detection, RGB-T Semantic Segmeantaion, RGB-T Tracking

Data and Codes for Our Paper "PEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection under Challenging Conditions"

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.

[CVPR 2026] RAGTrack: Language-aware RGBT Tracking with Retrieval-Augmented Generation

DQ-DETR: DETR with Dynamic Query for Tiny Object Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

[Accepted by ICCV2025] Official code of the paper "From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision"

Summary of RGB-T Salient Object Detection, Semantic segmentation and Crowd Counting.

Development kit for TrackingNet