Created by Lu Zhang, Institute of Automation, Chinese Academy of Science.
We propose a novel single-shot multispectral pedestrian detector, called CIAN, that utilizes the cross-modality (e.g., color, and long-wavelength infrared) information in an adaptive way. For more details, please refer to our paper.
Updated: Evaluation results are now updated on the improved testing annotations provided by Liu et al. for a reliable comparison.
Detection results are available through [Google Drive] and [BaiduYun]. If you have any problem, please feel free to contact me.
Please cite our paper in your publications if it helps your research:
@article{zhang2019cross,
title={Cross-modality interactive attention network for multispectral pedestrian detection},
author={Zhang, Lu and Liu, Zhiyong and Zhang, Shifeng and Yang, Xu and Qiao, Hong and Huang, Kaizhu and Hussain, Amir},
journal={Information Fusion},
volume={50},
pages={20--29},
year={2019},
publisher={Elsevier}
}