CORRECTION article

Front. Comput. Neurosci., 20 June 2023

Volume 17 - 2023 | https://doi.org/10.3389/fncom.2023.1232762

Corrigendum: Accurate few-shot object counting with Hough matching feature enhancement

  • 1. Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China

  • 2. Guangdong Multimedia Information Service Engineering Technology Research Center, Shenzhen University, Shenzhen, China

  • 3. School of Science, Beijing University of Civil Engineering and Architecture, Beijing, China

In the published article, there was an error in the Funding statement.

Original text: This work was supported by the National Natural Science Foundation of China under Grants 61971290.

The Shenzhen City project support was missed by mistake. The correct Funding statement appears below.

This work was supported by the National Natural Science Foundation of China under grant 61971290, and the Shenzhen Stability Support General Project (Category A) 20200826104014001.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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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

few-shot, object counting, Hough matching, feature enhancement, exemplar feature aggregation, self-attention

Citation

He Z, Zheng D and Wang H (2023) Corrigendum: Accurate few-shot object counting with Hough matching feature enhancement. Front. Comput. Neurosci. 17:1232762. doi: 10.3389/fncom.2023.1232762

Received

01 June 2023

Accepted

13 June 2023

Published

20 June 2023

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

17 - 2023

Updates

Copyright

*Correspondence: Zhiquan He

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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