Spatiotemporal key region transformer for visual tracking

HIGHLIGHTS

  • who: Ruixu Wu from the School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China have published the Article: Spatiotemporal key region transformer for visual tracking, in the Journal: (JOURNAL)
  • what: To make the related research more suitable for visual tracking, the authors focus on the following aspects: how to reasonably use a transformer to make it more suitable for visual tracking and how to efficiently select transformer patches and highlight important spatiotemporal information under the premise of ensuring accuracy. The authors propose a new visual tracker named SKRT, as shown in Fig . . .

     

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