JAC-Net: Joint learning with adaptive exploration and concise attention for unsupervised domain adaptive person re-identification

标题
JAC-Net: Joint learning with adaptive exploration and concise attention for unsupervised domain adaptive person re-identification
作者
关键词
Person re-identification, Domain adaptation, Joint learning, Adaptive exploration, Concise attention
出版物
NEUROCOMPUTING
Volume 483, Issue -, Pages 262-274
出版商
Elsevier BV
发表日期
2022-02-08
DOI
10.1016/j.neucom.2022.02.010

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now