Identity verification model training method and device, storage medium and electronic device

Abstract

The invention provides an identity verification model training method and device, an electronic device and a storage medium, and relates to the technical field of artificial intelligence. The identityverification model training method comprises: acquiring sample identity feature data and an identity label corresponding to the sample identity feature data; performing first learning processing on an identity branch network in a pre-established identity verification model according to the sample identity feature data so as to train the identity branch network; performing second learning processing on a domain branch network in the identity verification model according to the sample identity feature data so as to train the domain branch network; and performing third learning processing on theidentity branch network through the identity label and the trained domain branch network so as to construct the identity verification model according to the trained identity branch network. Accordingto the invention, domain differences in the identity feature data of the same person can be eliminated during identity verification.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular, to an identity verification model training method, an identity verification model training device, electronic equipment, and a computer-readable storage medium. Background technique [0002] With the development of Internet technology, great progress has been made in identity verification technology, including fingerprint verification, face verification, voiceprint / iris verification, pedestrian re-identification, etc. In particular, with the continuous popularization of smart terminals, the identity authentication technology based on smart terminals is also developing rapidly. [0003] However, state-of-the-art authentication methods often face biases in the data, such as domain differences, where a model trained in one domain is validated in another. For example, in the field of pedestrian re-identification, when the season causes people to change the...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present disclosure is to provide an identity verification model training method, an identity verification model training device, an electronic device, and a computer-readable storage medium, so as to overcome the limitations and defects of related technologies to a certain extent. The problem of domain differences in identity feature data cannot be eliminated when

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