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2023 年野外人脸反欺诈挑战:基准和结果(英文版)

发布者:wx****4a
2023-04-22
5 MB 12 页
人工智能(AI)
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2023 年野外人脸反欺诈挑战:基准和结果【英文版】.pdf
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英文标题:Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results中文摘要:介绍野外人脸防炸数据集(WFAS),该数据集包含 853,729 张交错图像,涵盖了 321,751 个欺诈主题和 148,169 个真实主题,集成了从互联网获得欺诈数据,并在 CVPR2023 工作坊上主持了野生人脸反欺诈挑战。英文摘要:Face anti-spoofing (FAS) is an essential mechanism for safeguarding theintegrity of automated face recognition systems. Despite substantialadvancements, the generalization of existing approaches to real-worldapplications remains challenging. This limitation can be attributed to thescarcity and lack of divers

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