Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
RGBT Crowd Counting
Official Implement of CVPR 2021 paper “Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting”
Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin. “Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting.” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [PDF]
Download RGBT-CC Dataset & Models: [Dropbox][BaiduYun (PW: RGBT)]
Our framework can be implemented with various backbone networks. You can refer to this page for implementing BL+IADM. Moreover, the proposed framework can also be applied to RGBD crowd counting and the implementation of CSRNet+IADM is available.
If you use this code and benchmark for your research, please cite our work:
@inproceedings{liu2021cross,
title={Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT