Face detection and image detection neural network training method, device and equipment

A face detection and neural network technology, applied in the computer field, can solve the problems of difficult face detection in images, low detection accuracy of face detection network, etc., to achieve good face detection, enhance discrimination and robustness, and reduce labor costs.

Active Publication Date: 2020-06-16
TENCENT TECH (SHENZHEN) CO LTD
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AI Technical Summary

Problems solved by technology

However, there are often cases where the model is difficult to perform face detection on some images, resulting in low detection accuracy of the face detection network

Method used

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  • Face detection and image detection neural network training method, device and equipment
  • Face detection and image detection neural network training method, device and equipment
  • Face detection and image detection neural network training method, device and equipment

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Embodiment Construction

[0047] 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.

[0048] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is t...

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Abstract

The invention relates to a face detection and image detection neural network training method, device and equipment. The face detection method comprises the steps of obtaining a to-be-detected image; calling a face detection network to process the to-be-detected image to obtain an original feature map extracted by a feature extraction structure in the face detection network; wherein there are morethan one original feature map and the resolutions are different; processing the original feature maps through a feature enhancement structure of the face detection network to obtain enhanced feature maps corresponding to the original feature maps; wherein based on the detection purpose of the face detection network and the processing object of the feature enhancement structure, a search space usedfor searching the feature enhancement structure is determined; wherein the feature enhancement structure is searched from a search space; and obtaining a face detection result of the to-be-detected image according to the enhanced feature map through a detection structure of the face detection network. According to the scheme provided by the invention, the face detection precision can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a face detection and image detection neural network training method, device and equipment. Background technique [0002] With the rise and development of artificial intelligence, the training of neural networks and the use of trained neural networks for data processing are becoming more and more extensive. For example, training a face detection network and using the trained face detection network to perform face detection on images, etc. [0003] Currently, when training the face detection network, images including faces can be obtained for training, so that the face detection network can learn model parameters for recognizing images including faces. However, there are often cases where the model is difficult to perform face detection on some images, resulting in low detection accuracy of the face detection network. Contents of the invention [0004] Based on this...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/08
CPCG06N3/08G06V40/161G06V40/168G06V10/806G06N3/045G06F18/214G06V40/164
Inventor 李剑张斌王亚彪彭瑾龙汪铖杰李季檩黄飞跃吴永坚
Owner TENCENT TECH (SHENZHEN) CO LTD
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