Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning
Recent advances in deep learning algorithms have shown impressive progress in image copy-move forgery detection (CMFD). However, these algorithms lack generalizability in practical scenarios where the copied regions are not present in the training images, or the cloned regions are part of the backgr...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2024) vom: 25. Okt.
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| 1. Verfasser: |
Li, Yuanman
(VerfasserIn) |
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| Weitere Verfasser: |
He, Yingjie,
Chen, Changsheng,
Dong, Li,
Li, Bin,
Zhou, Jiantao,
Li, Xia |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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