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el 24(1):

Editorial

Retraction Notice: A Review of Real-Time Semantic Segmentation Methods for 2D Data in the Context of Deep Learning

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  • @ARTICLE{10.4108/eetel.12185,
        author={Meng Gao and Haifeng Sima},
        title={Retraction Notice: A Review of Real-Time Semantic Segmentation Methods for 2D Data in the Context of Deep Learning},
        journal={EAI Endorsed Transactions on e-Learning},
        volume={11},
        number={1},
        publisher={EAI},
        journal_a={EL},
        year={2025},
        month={2},
        keywords={},
        doi={10.4108/eetel.12185}
    }
    
  • Meng Gao
    Haifeng Sima
    Year: 2025
    Retraction Notice: A Review of Real-Time Semantic Segmentation Methods for 2D Data in the Context of Deep Learning
    EL
    EAI
    DOI: 10.4108/eetel.12185
Meng Gao1,*, Haifeng Sima1,*
  • 1: Henan Polytechnic University
*Contact email: gaomeng@home.hpu.edu.cn, smhf@hpu.edu.cn

Abstract

We, the Publisher, have retracted the following article: Meng Gao, Haifeng Sima(2025). A Review of Real-Time Semantic Segmentation Methods for 2D Data in the Context of Deep Learning. EAI Endorsed Trans e-Learn. https://doi.org/10.4108/eetel.8433 The article has been retracted due to misconduct during the peer review process. This does not implicate any wrongdoing from the author’s side. We informed the authors about this decision. The retracted article will remain, and it has been watermarked as “RETRACTED”.  

Received
2025-01-12
Accepted
2025-02-20
Published
2025-02-25
Publisher
EAI
http://dx.doi.org/10.4108/eetel.12185

Copyright © 2025 M. Gao, H. Sima, licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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