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Fourier-based adaptive counterfactual intervention for object re-identification.

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Title: Fourier-based adaptive counterfactual intervention for object re-identification.
Authors: Xiong H; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China., Feng B; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China. Electronic address: fengbin@hust.edu.cn., Wang B; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China., Wang X; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China., Liu W; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China.
Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Mar; Vol. 195, pp. 108213. Date of Electronic Publication: 2025 Oct 17.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE
Database: MEDLINE Ultimate
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Header DbId: mdl
DbLabel: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Xiong+H%22">Xiong H</searchLink>; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China.<br /><searchLink fieldCode="AU" term="%22Feng+B%22">Feng B</searchLink>; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China. Electronic address: fengbin@hust.edu.cn.<br /><searchLink fieldCode="AU" term="%22Wang+B%22">Wang B</searchLink>; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China.<br /><searchLink fieldCode="AU" term="%22Liu+W%22">Liu W</searchLink>; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China.
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  Data: <searchLink fieldCode="JN" term="%228805018%22">Neural networks : the official journal of the International Neural Network Society</searchLink> [Neural Netw] 2026 Mar; Vol. 195, pp. 108213. <i>Date of Electronic Publication: </i>2025 Oct 17.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Pergamon+Press%22">Pergamon Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8805018 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-2782 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208936080%22">08936080 </searchLink><i>NLM ISO Abbreviation: </i>Neural Netw <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.neunet.2025.108213
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      – Code: eng
        Text: English
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              Text: 2026 Mar
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            – TitleFull: Neural networks : the official journal of the International Neural Network Society
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