In the published article, there was an error in Figure 12, Figure 13, and Table 5 as published. The descriptions at the bottom of the Figure 12 and Figure 13 were deleted. In addition, the resolution of all the figures in Table 5 was not high enough. The corrected Figure 12, Figure 13, and Table 5 and their captions appear below.
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.
Figure 12
Figure 13
Table 5
| Categories | Visual results of YOLOv5s | Visual results of LCB-YOLOv5s |
|---|---|---|
| The original images |  |  |
| Backbone |  |  |
| Prediction head 1 |  |  |
| Prediction head 2 |  |  |
| Prediction head 3 |  |  |
Visual results of the small target detection on Visdrone2019 dataset.
Statements
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
small target detection, remote sensing images, YOLOv5s, deep learning, EIoU loss
Citation
Pei W, Shi Z and Gong K (2023) Corrigendum: Small target detection with remote sensing images based on an improved YOLOv5 algorithm. Front. Neurorobot. 17:1161652. doi: 10.3389/fnbot.2023.1161652
Received
08 February 2023
Accepted
13 February 2023
Published
28 February 2023
Volume
17 - 2023
Edited and reviewed by
Yimin Zhou, Shenzhen Institutes of Advanced Technology (CAS), China
Updates
Copyright
© 2023 Pei, Shi and Gong.
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: Wenjing Pei wenjingpei@buaa.edu.cn
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.