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CORRECTION article

Front. Neurorobot., 06 April 2023
Volume 17 - 2023 | https://doi.org/10.3389/fnbot.2023.1161411

Corrigendum: Facial expression recognition method based on PSA—YOLO network

This article is a correction to:

  1. Facial expression recognition method based on PSA—YOLO network

    1. Read original article
\nRuoling MaRuoling Ma1Ruoyuan Zhang Ruoyuan Zhang2*
  • 1Guangdong Finance and Trade of Vocational College, Guangzhou, China
  • 2Anhui Water Conservancy Technical College, Hefei, China

A corrigendum on
Facial expression recognition method based on PSA—YOLO network

by Ma, R., and Zhang, R. (2023). Front. Neurorobot. 16:1057983. doi: 10.3389/fnbot.2022.1057983

In the published article, there was an error in the author list, which was incorrectly ordered. The correctly ordered author list appears below.

“Ruoling Ma1 and Ruoyuan Zhang2*”

In the published article, there was an error in affiliation 1. Instead of “Guangdong College of Finance and Trade, Guangzhou, China,” it should be “Guangdong Finance and Trade of Vocational College, Guangzhou, China.”

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.

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.

Keywords: YOLOv4 network, PSA—YOLO network, facial expression recognition, channel attention mechanism, operation efficiency

Citation: Ma R and Zhang R (2023) Corrigendum: Facial expression recognition method based on PSA—YOLO network. Front. Neurorobot. 17:1161411. doi: 10.3389/fnbot.2023.1161411

Received: 08 February 2023; Accepted: 27 March 2023;
Published: 06 April 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2023 Ma and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ruoyuan Zhang, aGZfenJ5JiN4MDAwNDA7MTYzLmNvbQ==

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.