This paper is marked retracted in the scholarly record (OpenAlex). Interpret its findings with caution.
Retraction: Dual generative adversarial networks based on regression and neighbor characteristics

Abstract
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Media Forensic Detection · Anomaly Detection Techniques and Applications · Image Processing Techniques and Applications
The PLOS One Editors retract this article [1] due to concerns about:
All authors agreed with retraction.
The retracted article [1] was removed from the PLOS One website at the time of retraction due to the similarities with [2]. The article’s Copyright and Data Availability statements were also updated at the time of retraction, and the removed contents are no longer offered under the Creative Commons Attribution License.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Jia W, Lu M, Shen Q, Tian C, Zheng X. Dual generative adversarial networks based on regression and neighbor characteristics. P Lo S One. 2024;19(1):e 0291656. doi: 10.1371/journal.pone.0291656 38236899 PMC 10796021 · doi ↗ · pubmed ↗
- 2Tian H, Tian C, Li K, Jia W. Unbalanced regression sample generation algorithm based on confrontation. Inf. Sci. 2023;642:119157. doi: 10.1016/j.ins.2023.119157 · doi ↗
