SFTA-Net: a self-supervised approach to detect copy-move and splicing forgery to leverage triplet loss, auxiliary loss, and spatial attention
Image forgery is an increasing threat, fueling misinformation and potentially impacting legal decisions and everyday life. Detecting forged media, including images and videos, is crucial for preserving trust and integrity across various platforms. Common forgery techniques like copy-move and splicin...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-04-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2803.pdf |
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