Next Article in Journal
Improving MLP-Based Weakly Supervised Crowd-Counting Network via Scale Reasoning and Ranking
Previous Article in Journal
Review of Matrix Rank Constraint Model for Impulse Interference Image Inpainting
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Yang et al. Robust Visual Recognition in Poor Visibility Conditions: A Prior Knowledge-Guided Adversarial Learning Approach. Electronics 2023, 12, 3711

1
Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China
2
University of Chinese Academy of Sciences, Beijing 101408, China
3
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore 639798, Singapore
4
Guangdong Greater Bay Area Institute of Integrated Circuit and System, Guangzhou 510535, China
5
R&D Center for Internet of Things, Chinese Academy of Sciences, Wuxi 214200, China
*
Author to whom correspondence should be addressed.
Electronics 2024, 13(3), 472; https://doi.org/10.3390/electronics13030472
Submission received: 12 January 2024 / Accepted: 15 January 2024 / Published: 23 January 2024
In the published publication [1], there were errors regarding the affiliation for Jiangang Yang. The updated affiliations should be:
Jiangang Yang 1,2
1 
Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China
2 
University of Chinese Academy of Sciences, Beijing 101408, China
The authors state that the scientific conclusions are unaffected. The original publication has also been updated.

Reference

  1. Yang, J.; Yang, J.; Luo, L.; Wang, Y.; Wang, S.; Liu, J. Robust Visual Recognition in Poor Visibility Conditions: A Prior Knowledge-Guided Adversarial Learning Approach. Electronics 2023, 12, 3711. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Yang, J.; Yang, J.; Luo, L.; Wang, Y.; Wang, S.; Liu, J. Correction: Yang et al. Robust Visual Recognition in Poor Visibility Conditions: A Prior Knowledge-Guided Adversarial Learning Approach. Electronics 2023, 12, 3711. Electronics 2024, 13, 472. https://doi.org/10.3390/electronics13030472

AMA Style

Yang J, Yang J, Luo L, Wang Y, Wang S, Liu J. Correction: Yang et al. Robust Visual Recognition in Poor Visibility Conditions: A Prior Knowledge-Guided Adversarial Learning Approach. Electronics 2023, 12, 3711. Electronics. 2024; 13(3):472. https://doi.org/10.3390/electronics13030472

Chicago/Turabian Style

Yang, Jiangang, Jianfei Yang, Luqing Luo, Yun Wang, Shizheng Wang, and Jian Liu. 2024. "Correction: Yang et al. Robust Visual Recognition in Poor Visibility Conditions: A Prior Knowledge-Guided Adversarial Learning Approach. Electronics 2023, 12, 3711" Electronics 13, no. 3: 472. https://doi.org/10.3390/electronics13030472

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop