no code implementations • 26 Apr 2024 • Yuanman Li, Yingjie He, Changsheng chen, Li Dong, Bin Li, Jiantao Zhou, Xia Li
To address these limitations, this study proposes a novel end-to-end CMFD framework that integrates the strengths of conventional and deep learning methods.
no code implementations • 8 Aug 2023 • Yingjie He, Yuanman Li, Changsheng chen, Xia Li
The recently developed deep algorithms achieve promising progress in the field of image copy-move forgery detection (CMFD).
