Transformer feature enhancement network with template update for object tracking

HIGHLIGHTS

  • who: Xiuhua Hu and collaborators from the School of Computer Science and Engineering, Xi`an Technological University, Xi`an, China have published the article: Transformer Feature Enhancement Network with Template Update for Object Tracking, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
  • what: In this paper, a feature enhancement module is designed to enhance the spatial- temporal and channel-wise saliency of the features extracted from the benchmark network, which can make the tracker automatically focus on the beneficial feature information and improve the feature characterization ability. In this paper, a . . .

     

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