Corrections to “Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8”
In the above article <xref ref-type="bibr" rid="ref1">[1]</xref>, inaccuracies are present in the naming and corresponding explanation of a concept. Upon careful review and analysis, we have identified inaccuracies in the definition and naming of a specific concept wi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Online Access: | https://ieeexplore.ieee.org/document/10478699/ |
| _version_ | 1797243421189996544 |
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| author | Niannian Wang Zexi Zhang Haobang Hu Bin Li Jianwei Lei |
| author_facet | Niannian Wang Zexi Zhang Haobang Hu Bin Li Jianwei Lei |
| author_sort | Niannian Wang |
| collection | DOAJ |
| description | In the above article <xref ref-type="bibr" rid="ref1">[1]</xref>, inaccuracies are present in the naming and corresponding explanation of a concept. Upon careful review and analysis, we have identified inaccuracies in the definition and naming of a specific concept within the article. During the training process, we explored various module optimizations. Unfortunately, due to the similar effects of the two modules, the definition and naming of the concept in the article were inaccurately represented. Specifically, the GhostConv module was incorrectly identified as the AKConv module that had been incorporated. To ensure the accuracy and integrity of our research, all authors unanimously request the necessary corrections to rectify the inaccuracies in the naming and explanation. This correction is crucial for maintaining the precision and completeness of our study. |
| first_indexed | 2024-04-24T18:54:51Z |
| format | Article |
| id | doaj.art-35392d78966c494b88ea3b999b7963bd |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T18:54:51Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-35392d78966c494b88ea3b999b7963bd2024-03-26T17:44:14ZengIEEEIEEE Access2169-35362024-01-0112417984180010.1109/ACCESS.2024.337749010478699Corrections to “Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8”Niannian Wang0https://orcid.org/0000-0003-4879-6936Zexi Zhang1https://orcid.org/0009-0009-0400-7465Haobang Hu2https://orcid.org/0000-0001-7280-7442Bin Li3Jianwei Lei4https://orcid.org/0000-0002-1066-2302Yellow River Laboratory, Zhengzhou University, Zhengzhou, ChinaYellow River Laboratory, Zhengzhou University, Zhengzhou, ChinaYellow River Laboratory, Zhengzhou University, Zhengzhou, ChinaYellow River Laboratory, Zhengzhou University, Zhengzhou, ChinaYellow River Laboratory, Zhengzhou University, Zhengzhou, ChinaIn the above article <xref ref-type="bibr" rid="ref1">[1]</xref>, inaccuracies are present in the naming and corresponding explanation of a concept. Upon careful review and analysis, we have identified inaccuracies in the definition and naming of a specific concept within the article. During the training process, we explored various module optimizations. Unfortunately, due to the similar effects of the two modules, the definition and naming of the concept in the article were inaccurately represented. Specifically, the GhostConv module was incorrectly identified as the AKConv module that had been incorporated. To ensure the accuracy and integrity of our research, all authors unanimously request the necessary corrections to rectify the inaccuracies in the naming and explanation. This correction is crucial for maintaining the precision and completeness of our study.https://ieeexplore.ieee.org/document/10478699/ |
| spellingShingle | Niannian Wang Zexi Zhang Haobang Hu Bin Li Jianwei Lei Corrections to “Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8” IEEE Access |
| title | Corrections to “Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8” |
| title_full | Corrections to “Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8” |
| title_fullStr | Corrections to “Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8” |
| title_full_unstemmed | Corrections to “Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8” |
| title_short | Corrections to “Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8” |
| title_sort | corrections to x201c underground defects detection based on gpr by fusing simple linear iterative clustering phash slic phash and convolutional block attention module cbam yolov8 x201d |
| url | https://ieeexplore.ieee.org/document/10478699/ |
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