期刊论文

Zhang, JM

英文

Electronics

2079-9292

2023

12

20

4351-

10.3390/electronics12204351

Conceptualization, J.Z.; methodology, Y.L.; software, Y.L.; validation, L.-D.K.; formal analysis, J.Z. and Y.L.; investigation, B.Z.; data curation, X.H.; writing—original draft preparation, Y.L.; writing—review and editing, J.Z. and L.-D.K.; visualization, X.H.; supervision, J.Z.; project administration, B.Z.; funding acquisition, J.Z. All authors have read and agreed to the published version of the manuscript. This work was supported by the National Natural Science Foundation of China under Grant 61972056, and the Scientific Research Fund of Hunan Provincial Education Department under Grants 21B0287 and 22B0341.

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Trackers based on the Siamese network have received much attention in recent years, owing to its remarkable performance, and the task of object tracking is to predict the location of the target in current frame. However, during the tracking process, distractors with similar appearances affect the judgment of the tracker and lead to tracking failure. In order to solve this problem, we propose a Siamese visual tracker with spatial-channel attention and a ranking head network. Firstly, we propose a Spatial Channel Attention Module, which fuses the features of the template and the search region by...