Awesome

DEFNet

DEFNet: Dual-Branch Enhanced Feature Fusion Network for RGB-T Crowd Counting（paper）

Requirements

Python3.6, Pytorch 1.5.0+, Cuda 10.2, Opencv-python

Results

Test maps:百度网盘（PW:zust）

Citation

@ARTICLE{9889192,
author={Zhou, Wujie and Pan, Yi and Lei, Jingsheng and Ye, Lv and Yu, Lu},
journal={IEEE Transactions on Intelligent Transportation Systems},
title={DEFNet: Dual-Branch Enhanced Feature Fusion Network for RGB-T Crowd Counting},
year={2022},
pages={1-10},
doi={10.1109/TITS.2022.3203385}}

Acknowledgement

The implement of this project is based on the code of "Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting" proposed Liu et al.

Contact

Please drop me an email for further problems or discussion: wujiezhou@163.com or 281775411@qq.com