An efficient multi-scale channel attention network for person re-identification

• Published in: The Visual computer Vol. 40; no. 5; pp. 3515 - 3527
• Main Authors: Luo, Qian, Shao, Jie, Dang, Wanli, Geng, Long, Zheng, Huaiyu, Liu, Chang
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2024; Springer Nature B.V
• Subjects: Artificial Intelligence; Computer Graphics; Computer Science; Design; Identification; Image Processing and Computer Vision; Learning; Neural networks; Occlusion; Original Article; Attention mechanism; Person re-identification; Convolutional neural network

At present, occlusion and similar appearance pose serious challenges to the task of person re-identification. In this work, we propose an efficient multi-scale channel attention network (EMCA) to learn robust and more discriminative features to solve these problems. Specifically, we designed a novel...