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
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Updated
Aug 29, 2024
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
Baseline Code for CVPR 2023 paper. "Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline".
Dataset & Code for ACM Multimedia 2023 paper. "SemanticRT: A Large-Scale Dataset and Method for Robust Semantic Segmentation in Multispectral Images".
A selection of RGB-T object tracking papers and their performance on various benchmarks.
DCFNet: Dense Complementary Fusion for RGB-Thermal Urban Scene Perception published in the 18th International Symposium on Neural Networks (ISNN 2024)
Pixel x4 is a image super-resolution deep learning algorithm. It uses both the deep convolutional GANs for generating realistic images and the distance based loss function for creating visually similar images.
Implementation of RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes (IEEE RAL) for RGB-D dataset using PyTorch
[TPAMI2024] Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection
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