This is the source code for "Deeply Learned Attributes for Crowded Scene Understanding".
Two-branch CNN model (i.e. appearance branch and motion branch)
Multi-class (i.e. 94 crowd attributes)
Three models:
single-branch (appearance model) `data_rgb_all_www_model_upgrade.caffemodel`
single-branch (motion model) `data_motion_all_www_model_upgrade.caffemodel`
two-branch (fusing appearance and motion models) `data_rgbm_all_www_top_combine_model_upgrade.caffemodel`
J. Shao, K. Kang, C. C. Loy, and X. Wang Deeply Learned Attributes for Crowded Scene Understanding. Computer Vision and Pattern Recognition (CVPR), 2015.
@article{shao2015www,
title={Deeply learned attributes for crowded scene understanding},
author={Shao, Jing and Kang, Kai and Loy, Chen Change and Wang, Xiaogang},
booktitle={Computer Vision and Pattern Recognition (CVPR)},
year={2015}
}