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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gout109

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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集聚成团

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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Neonatal

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Grievance

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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