CLFormer: a cross-lingual transformer framework for temporal forgery localization
Abstract Temporal forgery localization (TFL) is crucial in deepfake detection. It focuses on identifying subtle temporal manipulations within video content. However, the generalization capabilities of current TFL methods are limited, especially across different languages, which limits their performa...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Visual Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44267-025-00084-z |
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