SGAT: Shuffle and graph attention based Siamese networks for visual tracking

Siamese-based trackers have achieved excellent performance and attracted extensive attention, which regard the tracking task as a similarity learning between the target template and search regions. However, most Siamese-based trackers do not effectively exploit correlations of the spatial and channe...

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Detalles Bibliográficos
Autores principales: Wang, Jun, Zhang, Limin, Zhang, Wenshuang, Wang, Yuanyun, Deng, Chengzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683595/
https://www.ncbi.nlm.nih.gov/pubmed/36417392
http://dx.doi.org/10.1371/journal.pone.0277064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683595/
https://www.ncbi.nlm.nih.gov/pubmed/36417392
http://dx.doi.org/10.1371/journal.pone.0277064

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