5 results for “topic:rgb-t”
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.
PyTorch implementation of "Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos", IEEE Transactions on MultiMedia.
SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation (Updating)
A selection of RGB-T object tracking papers and their performance on various benchmarks.
Implementation of the paper "Hyper-Counter: Cross-Modal Hypergraph Fusion for RGB-T Crowd Counting" (under review).