Face recognition model processing method, face recognition method and face recognition device
A technology of face recognition and face recognition, which is applied in the computer field, can solve problems such as inaccurate face recognition operation and deviation of face recognition model recognition accuracy, and achieve the goal of expanding feature space, improving recognition accuracy, and reducing similarity Effect
Active Publication Date: 2021-05-14
TENCENT TECH (SHENZHEN) CO LTD
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[0003] At present, for different user groups, there is a large deviation in the recognition accuracy of the face recognition model, that is, the traditional face recognition operation is inaccurate.
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[0048] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.
[0049] The processing method of the face recognition model provided by the embodiment of the present application involves artificial intelligence (Artificial Intelligence, AI) technology, and artificial intelligence is to use a digital computer or a machine controlled by a digital computer to simulate, extend and expand human intelligence, perceive the environment, and acquire knowledge. And use the knowledge to obtain the theory, method, technology and application system for the best results. In other words, artificial intelligence is a comprehensive technique of comp...
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The invention relates to a face recognition model processing method, a face recognition method and a face recognition device. The method relates to a computer vision technology in the field of artificial intelligence, and comprises the following steps: pre-training an initial face recognition model by using majority group face images in a first sample set to obtain a pre-trained face recognition model, using sample images in the first sample set, the second sample set and the third sample set to carry out fine-tuning training on the pre-trained face recognition model, and in the fine-tuning training process, eliminating gradients corresponding to the sample images which belong to the third sample set and comprise a majority of group faces; and updating model parameters of the pre-trained face recognition model by using the gradients corresponding to the remaining sample images in the sample image set. The method can be applied to face recognition in scenes such as smart shopping malls and supermarkets and smart traffic, and the face recognition accuracy of various groups can be improved by adopting the method.
Description
technical field [0001] The present application relates to the field of computer technology, in particular to a processing method of a face recognition model, a face recognition method and a device. Background technique [0002] With the development of artificial intelligence, the use of machine learning models is becoming more and more widespread. For example, before users perform various operations through computer equipment, they often need to perform face recognition operations, and face recognition operations usually use face recognition models for data processing. [0003] At present, for different user groups, there is a large deviation in the recognition accuracy of the face recognition model, that is, there is a problem of inaccuracy in the traditional face recognition operation. Contents of the invention [0004] Based on this, it is necessary to provide a face recognition model processing method, a face recognition method and a device that can improve the accura...
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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/161G06V40/168G06N3/045G06F18/22G06F18/214
Inventor 许剑清沈鹏程李绍欣
Owner TENCENT TECH (SHENZHEN) CO LTD