Joining features by global guidance with bi-relevance trihard loss for person re-identification

标题
Joining features by global guidance with bi-relevance trihard loss for person re-identification
作者
关键词
-
出版物
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-01-25
DOI
10.1007/s00521-021-06852-4

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