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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| 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 |