An Uncertainly Dynamic Loss Correction and Global Sample Selection Method for Webly Supervised Fine-Grained Visual Classification
Crossref DOI link: https://doi.org/10.1007/s00034-021-01928-x
Published Online: 2022-01-28
Published Print: 2022-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Guo, Jian
Ding, Mengying
Wang, Qiong
Zhang, Chuanyi
Yao, Yazhou http://orcid.org/0000-0002-0337-9410
Text and Data Mining valid from 2022-01-28
Version of Record valid from 2022-01-28
Article History
Received: 29 September 2020
Revised: 28 November 2021
Accepted: 30 November 2021
First Online: 28 January 2022