Face representation attack detection method, system and device and medium

The invention discloses a face representation attack detection method, system and device and a medium, and the method comprises the steps: constructing a unilateral domain adversarial model which comprises a feature extractor, a domain discriminator and a classifier; obtaining a training sample, con...

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Bibliographic Details
Main Authors FU YULI, HUANG HANYE, YANG GUODONG, XIANG YOUJUN
Format Patent
LanguageChinese
English
Published 04.01.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:The invention discloses a face representation attack detection method, system and device and a medium, and the method comprises the steps: constructing a unilateral domain adversarial model which comprises a feature extractor, a domain discriminator and a classifier; obtaining a training sample, constructing an aligned face image database according to the training sample, and obtaining a source domain and a target domain from the face image database; training the unilateral domain adversarial model according to a source domain, and constructing an initial set of samples containing a target domain; retraining the unilateral domain adversarial model according to the initial set; and carrying out face representation attack detection by adopting the unilateral domain adversarial model obtained by training. On the basis of a unilateral domain generalization method, the target domain data is added into unilateral domain adversarial training, information provided by the target domain data is fully utilized, and the
Bibliography:Application Number: CN202111111825