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Kayee Hanaoka(NIST):FATE 年龄估计与验证.pdf

上传人: 芦苇 编号:651695 2025-05-01 22页 3.67MB

1、FATE:Age Estimation&Verification Evaluation FATE:Age Estimation&Verification Evaluation Kayee Hanaoka,NISTIFPC April 1,2025NIST Face Technology BenchmarksBenchmarks are:Independent Public Free Open globally Regular Fast Repeatable Fair Black box IP-protecting Large-scale Sequestered datasets Statist

2、ically robust Public Transparent Extensible ABSOLUTE ACCU RELATIVE ACCU1:1 VERIFICATION1:N SEARCHTWINS DISAMBIGUATIONFACE IN VIDEO 2024MORPH DETECTIONPADAGE ESTIMATIONTWO PEOPLE IN ONE FACE?SUBVERSIVE PHOTO?HOW OLD?OLD ENOUGH?SAME PERSON OR NOT?WHO?WHERE?WHEN?SAME PERSON,OR TWIN?1:N ON NON-COOP PEOP

3、LEQUALITY+DIAGNOSTICSHOW BAD IS THIS PHOTOFRTEFACE RECOGNITIONRECOGNITION TECHNOLOGY EVALUATIONFATEFACE ANALYSIS ANALYSIS TECHNOLOGY EVALUATIONRECOGNITION:WHOWHO IS IN AN IMAGEANALYSIS:ABOUTABOUT IN AN IMAGE2014-03-20:NISTIR 7995 Performance of Automated Age Estimation2023-08-14:Publish v1 API2023-0

4、9-05:Open for submission2024-05-29:NISTIR 8525 FATE-AEV2024-06 to 2025-03:8 report updates2025-03-28:Publish v2 API2014-03-20:NISTIR 7995 Performance of Automated Age Estimation2023-08-14:Publish v1 API2023-09-05:Open for submission2024-05-29:NISTIR 8525 FATE-AEV2024-06 to 2025-03:8 report updates20

5、25-03-28:Publish v2 APIBEYOND SCOPE:AGE ASSURANCE TRUSTED AV including LIVENESS+PAD+FALLBACKS AGE=36.4#1:ESTIMATE_AGE TRUE#2:VERIFY_AGE 25 AGE=36.4#3:ESTIMATE_AGE+GIVENFROM SINGLE IMAGEFROM SINGLE IMAGEAPI functionsKNOWN=32#1#2#32014-03-20:NISTIR 7995 Performance of Automated Age Estimation2023-08-1

6、4:Publish v1 API2023-09-05:Open for submission2024-05-29:NISTIR 8525 FATE-AEV2024-06 to 2025-03:8 report updates2025-03-28:Publish v2 APIBEYOND SCOPE:AGE ASSURANCE TRUSTED AV including LIVENESS+PAD+FALLBACKS AGE=36.4#1:ESTIMATE_AGE TRUE#2:VERIFY_AGE 25 AGE=36.4#3:ESTIMATE_AGE+GIVENFROM SINGLE IMAGEF

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本文介绍了NIST举办的FATE(Age Estimation & Verification Evaluation)评估活动,旨在评估和比较不同算法在年龄估计和验证方面的性能。活动包括独立、公开、免费、开放的全球性、定期、可重复、公平的基准测试,涉及人脸识别技术。主要数据包括2014年研究的重复、应用和签证照片、边界照片、 mugshots等。结果显示,与2014年相比,新的算法在绝对年龄估计误差方面有显著减少,且在性别、国家和出生年份等方面表现各异。未来工作将关注如何应对质量较差的图片和环境因素的影响。FATE提供了一个持续更新的资源,供开发者、购买者和政策制定者使用。
"FATE技术如何评估年龄?" "FATE AEV基准测试有哪些优势?" "如何利用FATE AEV进行年龄验证?"
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