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Han, Yamin, Zhang, Peng, Huang, Wei, Zha, Yufei, Cooper, Garth Douglas, Zhang, Yanning (2020) Robust Visual Tracking based on Adversarial Unlabeled Instance Generation with Label Smoothing Loss Regularization. Pattern Recognition, 97. 107027pp. doi:10.1016/j.patcog.2019.107027

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Reference TypeJournal (article/letter/editorial)
TitleRobust Visual Tracking based on Adversarial Unlabeled Instance Generation with Label Smoothing Loss Regularization
JournalPattern Recognition
AuthorsHan, YaminAuthor
Zhang, PengAuthor
Huang, WeiAuthor
Zha, YufeiAuthor
Cooper, Garth DouglasAuthor
Zhang, YanningAuthor
Year2020 (January)Volume97
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2019.107027Search in ResearchGate
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Mindat Ref. ID9367975Long-form Identifiermindat:1:5:9367975:4
GUID0
Full ReferenceHan, Yamin, Zhang, Peng, Huang, Wei, Zha, Yufei, Cooper, Garth Douglas, Zhang, Yanning (2020) Robust Visual Tracking based on Adversarial Unlabeled Instance Generation with Label Smoothing Loss Regularization. Pattern Recognition, 97. 107027pp. doi:10.1016/j.patcog.2019.107027
Plain TextHan, Yamin, Zhang, Peng, Huang, Wei, Zha, Yufei, Cooper, Garth Douglas, Zhang, Yanning (2020) Robust Visual Tracking based on Adversarial Unlabeled Instance Generation with Label Smoothing Loss Regularization. Pattern Recognition, 97. 107027pp. doi:10.1016/j.patcog.2019.107027
In(2020) Pattern Recognition Vol. 97. Elsevier BV

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