1 code implementation • 31 Jan 2024 • Shuguang Dou, Xiangyang Jiang, Yuanpeng Tu, Junyao Gao, Zefan Qu, Qingsong Zhao, Cairong Zhao
Unlike mainstream approaches using global features for simultaneous multi-task learning of ReID and human parsing, or relying on semantic information for attention guidance, DROP argues that the inferior performance of the former is due to distinct granularity requirements for ReID and human parsing features.
no code implementations • 15 Jul 2022 • Shuguang Dou, Xinyang Jiang, Qingsong Zhao, Dongsheng Li, Cairong Zhao
In this paper, we aim to develop a technique that can achieve a good trade-off between privacy protection and data usability for person ReID.
no code implementations • 2 Mar 2022 • Qingsong Zhao, Yi Wang, Shuguang Dou, Chen Gong, Yin Wang, Cairong Zhao
Regarding this hypothesis, we propose a novel regularization to improve discriminative learning.
no code implementations • 21 Feb 2022 • Qingsong Zhao, Yi Wang, Zhipeng Zhou, Duoqian Miao, LiMin Wang, Yu Qiao, Cairong Zhao
Flattening is essential in computer vision by converting multi-dimensional feature maps or images into one-dimensional vectors.