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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Published in | PloS one Vol. 17; no. 11 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Public Library of Science (PLoS)
23.11.2022
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Online Access | Get full text |
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