TransFace++ Rethinking the Face Recognition Paradigm with a Focus on Accuracy, Efficiency, and Security

TransFace++ : Rethinking the Face Recognition Paradigm with a Focus on Accuracy, Efficiency, and Security

Face Recognition (FR) technology has made significant strides with the emergence of deep learning. Typically, most existing FR models are built upon Convolutional Neural Networks (CNN) and take RGB face images as the model's input. In this work, we take a closer look at existing FR paradigms fr...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 30. Sept.
1. Verfasser: Dan, Jun (VerfasserIn)
Weitere Verfasser: Liu, Yang, Sun, Baigui, Deng, Jiankang, Luo, Shan
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2025
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article
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