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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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Electronics and Telecommunications Research Institute (ETRI)
2024-08-01
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| Серии: | ETRI Journal |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.4218/etrij.2023-0167 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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