Ma, Zhongchen
Ma, Runze
Wang, Guangchen
Mao, Qirong
Dong, Ming
Funding for this research was provided by:
National Natural Science Foundation of China (62006098, 62176106, 62076124)
The Key Projects of the National Natural Science Foundation of China (U1836220)
Fellowship of China Postdoctoral Science Foundation (2020M681515)
Jiangsu Province Key Research and Development Plan (BE2020036)
Article History
Received: 30 October 2023
Revised: 15 July 2024
Accepted: 21 July 2024
First Online: 2 August 2024
Declarations
:
: We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled, “Label Correlation Preserving Visual-Semantic Joint Embedding for Multi-Label Zero-Shot Learning”