Training method, device and equipment of image generator and storage medium

An image generator and training method technology, applied in the computer field, can solve problems such as cost or technical difficulty, and less face data

Pending Publication Date: 2020-12-29
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in addition to the RGB mode, there are more face data of other modalities, such as Depth (depth) and NIR (near infrared),

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  • Training method, device and equipment of image generator and storage medium
  • Training method, device and equipment of image generator and storage medium
  • Training method, device and equipment of image generator and storage medium

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Embodiment Construction

[0015] The 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 related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0016] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0017] figure 1 An exemplary system architecture 100 of an embodiment of an image generator training method or an image generator training device of the present application can be applied.

[0018] Such as figure 1 As shown, the system architecture 100 may include a termin...

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Abstract

The embodiment of the invention discloses a training method, device and equipment of an image generator and a storage medium, and relates to the technical field of artificial intelligence such as deeplearning, big data processing, data enhancement and computer vision. The method comprises the following steps: respectively inputting codes of a first modal image and a second modal image of the sameobject into an initial model of an image generator to obtain a first image and a second image; respectively inputting the first image and the second image into a target network model to obtain a feature value of the first image and a feature value of the second image; and determining a loss function based on the feature value of the first image, the feature value of the second image and the typeof the target network model, and adjusting the parameters of the image generator to obtain a trained image generator, thereby providing an image generator capable of generating a specific modal imagein the first modal image and/or the second modal image. The problem of overfitting caused by too few training samples of a specific modal image recognition model is solved, and the recognition precision of the model is improved.

Description

technical field [0001] This application relates to the field of computer technology, specifically to the field of artificial intelligence technology such as deep learning, big data processing, data enhancement, computer vision, etc., especially to the training method, device, equipment and storage medium of the image generator. Background technique [0002] At present, the widely used camera is RGB (color of three channels of red, green and blue) cameras, it is relatively easy to obtain face data in RGB mode, and the training data for face recognition model in RGB mode is sufficient. However, in addition to the RGB mode, there are more face data of other modalities, such as Depth (depth) and NIR (near infrared), etc., due to the great difficulty in cost or technology, the face data of other modalities is extremely difficult at present. few. Contents of the invention [0003] Embodiments of the present application provide a training method, device, device, and storage medi...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/161G06N3/045G06F18/22G06F18/214
Inventor 田飞
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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