Dual-path CNN with Max Gated block for text-based person re-identification
作者：
Highlights：
• Propose a novel Dual-path CNN with Max Gated block, which is based on two deep residual CNNs jointly optimized to embed the two modalities into a joint feature space.
摘要
•Propose a novel Dual-path CNN with Max Gated block, which is based on two deep residual CNNs jointly optimized to embed the two modalities into a joint feature space.
论文关键词：Cross-modal matching,Person re-identification,Dual-path CNN,Word embedding
论文评审过程：Received 8 September 2020, Revised 28 February 2021, Accepted 4 April 2021, Available online 22 April 2021, Version of Record 27 April 2021.
论文官网地址：https://doi.org/10.1016/j.imavis.2021.104168
