Article History
Received: 10 October 2018
Accepted: 8 March 2019
First Online: 15 May 2019
Change Date: 17 January 2020
Change Type: Correction
Change Date: 17 January 2020
Change Type: Correction
Change Details: The article Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics written by Ao-Xue Li, Ke-Xin Zhang and Li-Wei Wang, was originally published on vol. 16, no. 5 of International Journal of Automation and Computing without Open Access. After publication, the authors decided to opt for Open Choice and to make the article an Open Access publication. Therefore, the copyright of the article has been changed to © The Author(s) 2020 and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License (<ExternalRef><RefSource>https://doi.org/creativecommons.org/licenses/by/4.0/</RefSource><RefTarget Address="http://www.creativecommons.org/licenses/by/4.0/" TargetType="URL"/></ExternalRef>), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Change Details: The article Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics written by Ao-Xue Li, Ke-Xin Zhang and Li-Wei Wang, was originally published on vol. 16, no. 5 of International Journal of Automation and Computing without Open Access. After publication, the authors decided to opt for Open Choice and to make the article an Open Access publication. Therefore, the copyright of the article has been changed to © The Author(s) 2020 and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License (<ExternalRef><RefSource>https://doi.org/creativecommons.org/licenses/by/4.0/</RefSource><RefTarget Address="http://www.creativecommons.org/licenses/by/4.0/" TargetType="URL"/></ExternalRef>), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.