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Living body detection model processing method and device, computer equipment and storage medium

A technology of living body detection and model, applied in computer parts, calculation, deception detection, etc., can solve problems such as affecting the speed of model convergence, and achieve the effect of accelerating model convergence speed and improving generalization ability.

Active Publication Date: 2021-08-13
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

However, in the process of model training, the speed of model convergence is different when using different image samples, so using traditional model training schemes for model training will affect the speed of model convergence

Method used

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  • Living body detection model processing method and device, computer equipment and storage medium
  • Living body detection model processing method and device, computer equipment and storage medium
  • Living body detection model processing method and device, computer equipment and storage medium

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Embodiment Construction

[0066] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0067] Artificial Intelligence (AI) technology is a comprehensive discipline that involves a wide range of fields, including both hardware-level technology and software-level technology. Artificial intelligence basic technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, and mechatronics. Artificial intelligence software technology mainly includes several major directions such as computer vision technology, speech processing te...

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Abstract

The invention relates to artificial intelligence, in particular to a living body detection model processing method and device, computer equipment and a storage medium. The method comprises the following steps: extracting image features from image samples of different application scenes in sequence; determining distinguishing difficulty values of data fields to which different image samples belong based on the image features; determining identification difficulty values of different image samples according to the distinguishing difficulty values; according to the identification difficulty values, distributing weights of different sizes to different image samples; the weight and the identification difficulty value being in a negative correlation relationship; and based on the image samples of different application scenes, performing model training on a living body detection model according to a descending order of the weights. By adopting the method, the model convergence speed can be increased.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a processing method, device, computer equipment and storage medium of a living body detection model. Background technique [0002] With the development of artificial intelligence technology, live body detection technology has emerged, which is widely used in various technical fields. Before the liveness detection, the liveness detection model is usually trained through some image samples, but after the model converges, the trained liveness detection model can be used to perform liveness detection on the image to be detected, so as to determine whether the image is a liveness image . [0003] In the traditional model training scheme, the live detection model is usually trained with different image samples. However, in the process of model training, the speed of model convergence is different when using different image samples, so adopting traditional mo...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/168G06V40/172G06V40/45G06V10/44G06N3/047G06F18/2415G06F18/241
Inventor 姚太平张克越丁守鸿李季檩
Owner TENCENT TECH (SHENZHEN) CO LTD
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