MixFace: Improving face verification with a focus on fine-grained conditions
The performance of face recognition (FR) has reached a plateau for publicbenchmark datasets, such as labeled faces in the wild (LFW), celebrities in frontal-profile in the wild (CFP-FP), and the first manually collected, inthe-wild age database (AgeDB), owing to the rapid advances in convolutional n...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Electronics and Telecommunications Research Institute (ETRI)
2024-08-01
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| Colecção: | ETRI Journal |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.4218/etrij.2023-0167 |
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