Integration of multi-head self-attention and convolution for person re-identification

HIGHLIGHTS

• who: Yalei Zhou and collaborators from the School of Control and Computer Engineering, North China Electric Power University, Beijing, China have published the article: Integration of Multi-Head Self-Attention and Convolution for Person Re-Identification, in the Journal: Sensors 2022, 22, 6293. of /2022/
• what: The authors propose an improved multi-scale feature learning structure DM-OSNet with better performance than the original OSNet. The authors propose DL-MHSA based on MHSA, which reduces the computational complexity of MHSA with a small increase in the number of parameters. Ref introduces an attention module to . . .
  

   

  

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