基于注意力机制的跨分辨率行人重识别

作者：Liao Huanian; Xu Xin^*

来源：Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(3): 605-612.

DOI：10.13700/j.bh.1001-5965.2020.0471

• Channel attention mechanism
• Image super resolution
• Person re-identification
• Spatial attention mechanism
• Up-sampling

The resolution variation of person images poses great challenges to current person re-identification methods. To address this problem, this paper presents a cross-resolution person re-identification method. This method solves the resolution variation from two aspects. On the one hand, the spatial and channel attention mechanisms are utilized to capture person features and obtain local region; On the other hand, local information of any resolution image is recovered by the nuclear dynamic upsampling module. Comparative experiments have been conducted to verify the effectiveness of the proposed method against state-of-the-art methods on Market1501, CUHK03, and CAVIAR person re-identification datasets. The experimental results show that the proposed method has the best performance. ? 2021, Editorial Board of JBUAA. All right reserved.

• 单位
  武汉科技大学