CORRECTION article

Front. Comput. Neurosci., 18 August 2025

Volume 19 - 2025 | https://doi.org/10.3389/fncom.2025.1665406

Correction: Multi-label remote sensing classification with self-supervised gated multi-modal transformers

  • 1. University of Shanghai for Science and Technology, Institute of Machine Intelligence, Shanghai, China

  • 2. Origin Dynamics Intelligent Robot Co., Ltd., Zhengzhou, China

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In the published article, there was an error in the Funding statement. The Funding statement was erroneously omitted, and financial support grants should have instead been included. The correct Funding statement appears below.

Statements

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the National key Research and Development plan of Ministry of Science and Technology of China (Grant Nos. 2023YFC3605800 and 2023YFC3605803) and the Henan Provincial Key Research and Development Program, China (Grant No. 251111220500).

The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

self-supervised learning, pre-training, vision transformer, multi-modal, gated units

Citation

Liu N, Yuan Y, Wu G, Zhang S, Leng J and Wan L (2025) Correction: Multi-label remote sensing classification with self-supervised gated multi-modal transformers. Front. Comput. Neurosci. 19:1665406. doi: 10.3389/fncom.2025.1665406

Received

14 July 2025

Accepted

01 August 2025

Published

18 August 2025

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

19 - 2025

Updates

Copyright

*Correspondence: Lihong Wan

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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