Masking for better discovery: Weakly supervised complementary body regions mining for person re-identification
作者：
Highlights：
• Weakly supervised data augmentation based network for fine-grained person re-identification.
• Modeling the spatial relationship of a fine-grained region for person re-identification.
• Discovering more complementary feature representation in a weakly supervised fashion.
摘要
•Weakly supervised data augmentation based network for fine-grained person re-identification.•Modeling the spatial relationship of a fine-grained region for person re-identification.•Discovering more complementary feature representation in a weakly supervised fashion.
论文关键词：Person re-identification,Attention mechanism,CNN,Fine-grained image classification,Bilinear pooling
论文评审过程：Received 31 August 2021, Revised 17 December 2021, Accepted 3 February 2022, Available online 19 February 2022, Version of Record 24 February 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116636
