SPA-Net: A Deep Learning Approach Enhanced Using a Span-Partial Structure and Attention Mechanism for Image Copy-Move Forgery Detection.

Zhao, Kaiqi; Yuan, Xiaochen; Xie, Zhiyao; Xiang, Yan; Huang, Guoheng; Feng, Li

Zhao, Kaiqi; Yuan, Xiaochen; Xie, Zhiyao; Xiang, Yan; Huang, Guoheng; Feng, Li.

Afiliación

Zhao K; School of Computer Science and Engineering, Macau University of Science and Technology, Macao 999078, China.
Yuan X; Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China.
Xie Z; Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China.
Xiang Y; School of Computer Science and Engineering, Macau University of Science and Technology, Macao 999078, China.
Huang G; School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China.
Feng L; School of Computer Science and Engineering, Macau University of Science and Technology, Macao 999078, China.

Sensors (Basel) ; 23(14)2023 Jul 15.

Article en En | MEDLINE | ID: mdl-37514723

Palabras clave

attention mechanisms; copy-move forgery detection; cross partial structure; feature extraction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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