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A Meta-Learning Approach for Few-Shot Face Forgery Segmentation and Classification
The technology for detecting forged images is good at detecting known forgery methods. It trains neural networks using many original and corresponding forged images created with known methods. However, when encountering unseen forgery methods, the technology performs poorly. Recently, one suggested...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099107/ https://www.ncbi.nlm.nih.gov/pubmed/37050708 http://dx.doi.org/10.3390/s23073647 |