Expression of Concern: Pedestrian POSE estimation using multi-branched deep learning pose net

Contrary to the Data Availability statement in [1,2], the individual-level underlying data supporting the article's results were not provided with the article.The corresponding author provided information on third-party datasets used in this article (provided here in S1 File).However, they did not provide the data underlying the figures and graphs on request, which the Editors consider to be necessary for compliance with the PLOS Data Availability policy.Therefore, the PLOS One Editors issue this Expression of Concern.We regret that the issues were not addressed prior to the article's publication.Additionally, there are errors in the dataset count values in Table 2 of [1].The corrected table is provided with this notice.

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Publication Details

Journal
PLoS ONE
Published
2026-10-29
DOI
https://doi.org/10.1371/journal.pone.0361677
Primary Topic
Human Pose and Action Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Expression of Concern: Pedestrian POSE estimation using multi-branched deep learning pose net

The PLOS One Editors
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PLoS ONE
Human Pose and Action Recognition
article

Expression of Concern: Pedestrian POSE estimation using multi-branched deep learning pose net

The PLOS One Editors
article en

Abstract

Contrary to the Data Availability statement in [1,2], the individual-level underlying data supporting the article's results were not provided with the article.The corresponding author provided information on third-party datasets used in this article (provided here in S1 File).However, they did not provide the data underlying the figures and graphs on request, which the Editors consider to be necessary for compliance with the PLOS Data Availability policy.Therefore, the PLOS One Editors issue this Expression of Concern.We regret that the issues were not addressed prior to the article's publication.Additionally, there are errors in the dataset count values in Table 2 of [1].The corrected table is provided with this notice.

PLoS ONEVol. 21(10)
Openalex Percentile: Top 17%
Human Pose and Action Recognition
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