Wild terrestrial animal re-identification based on an improved locally aware transformer with a cross-attention mechanism

HIGHLIGHTS

• who: Zhaoxiang Zheng et al. from the College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China have published the paper: Wild Terrestrial Animal Re-Identification Based on an Improved Locally Aware Transformer with a Cross-Attention Mechanism, in the Journal: Animals 2022, x of /2022/
• what: Given an animal image, the authors compare the similarity of the Query image and the images in the Gallery image sets and rank the Gallery images according to their similarity. The model proposed by Yu et_al is based on the re-identification of the body appearance of . . .
  

   

  

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