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Titlebook: Handbook of Face Recognition; Stan Z. Li,Anil K. Jain,Jiankang Deng Book 2024Latest edition The Editor(s) (if applicable) and The Author(s

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發(fā)表于 2025-3-25 05:34:41 | 只看該作者
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發(fā)表于 2025-3-25 13:01:38 | 只看該作者
Reducing Bias in Face RecognitionFR performance. The goal of this research is to learn a fair face representation, where the faces of every group could be equally well-represented. Specifically, we explore de-biasing approaches by designing two different network architectures using deep learning. Meanwhile, we evaluate the model’s
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發(fā)表于 2025-3-25 15:57:24 | 只看該作者
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發(fā)表于 2025-3-25 23:21:32 | 只看該作者
Heterogeneous Face Recognition identity verification in uncontrolled scenarios. With the development of deep learning models in image processing, superior recognition accuracy has been achieved recently [., .]. However, real face images are captured through different sources, such as sketch artists and infrared imaging devices,
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發(fā)表于 2025-3-26 12:39:41 | 只看該作者
on, tracking, alignment, feature extraction.Describes a broa.The history of computer-aided face recognition dates to the 1960s, yet the problem of automatic face recognition – a task that humans perform routinely and effortlessly in our daily lives – still poses great challenges, especially in uncon
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發(fā)表于 2025-3-26 17:47:15 | 只看該作者
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