Multi-level fusion temporal-spatial co-attention for video-based person re-identification

HIGHLIGHTS

  • who: Shengyu Pei and Xiaoping Fan from the School of Information Technology and Management, Hunan University of Finance and Economics, Changsha, China have published the article: Multi-Level Fusion Temporal-Spatial Co-Attention for Video-Based Person Re-Identification, in the Journal: Entropy 2021, 23, 1686. of 15/Dec/2021
  • what: The authors propose a multi-level fusion temporal-spatial co-attention network to explore the temporal-spatial information of video sequence frames fully. The authors evaluate the effectiveness of the proposed methods in the widely used actual person re-identification task with real-world . . .

     

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