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Image recognition model migration method, device, equipment and storage medium

An image recognition and model technology, applied in the field of artificial intelligence, can solve the problems of poor generalization of the image recognition model and the inability to design anchor point sets, etc., and achieve the effects of improving generalization, recognition efficiency, and migration efficiency

Active Publication Date: 2022-03-11
TENCENT TECH (SHENZHEN) CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, related technologies cannot design a reasonable anchor point set for the target domain when the real annotations of the image samples in the target domain cannot be obtained, and the generalization of the image recognition model is not strong.

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  • Image recognition model migration method, device, equipment and storage medium
  • Image recognition model migration method, device, equipment and storage medium
  • Image recognition model migration method, device, equipment and storage medium

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Embodiment Construction

[0034] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0035] 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 to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and de...

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Abstract

The application discloses a migration method, device, equipment and storage medium of an image recognition model, and relates to the technical field of artificial intelligence. The method includes: obtaining head feature maps of source domain image samples and target domain image samples; determining object prediction labels for the two samples based on the head feature maps of the two samples; and determining the difference between the feature maps of the two samples Information and the difference information between the object prediction label of the source domain image sample and its true value label, determine the model training loss; adjust the parameters of the image recognition model according to the model training loss, and obtain the image recognition model after migration. This application realizes single-stage domain transfer based on the head feature map, which can improve the transfer efficiency of the model and the generalization of the model. In addition, this application can use the simulation data with the real value label and the real scene data without the real value label to migrate the model to the real scene for use. For example, this application can be used for model domain transfer tasks in autonomous driving scenarios.

Description

technical field [0001] The embodiments of the present application relate to the technical field of artificial intelligence, and in particular to a migration method, device, equipment, and storage medium of an image recognition model. Background technique [0002] With the development of artificial intelligence technology, there are more and more researches and applications on domain transfer. Domain migration is used to migrate the model from the data distribution of the source domain to the data distribution of the target domain, and the migrated model can be used to perform tasks corresponding to the target domain. [0003] Taking the image recognition model as an example, related technologies realize domain migration through a two-stage image recognition method, that is, designing a set of reasonable anchor point sets (namely, candidate frame sets) for the target domain, and based on the anchor point set for image recognition model The parameters are fine-tuned to obtain...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/80G06V10/774G06K9/62G06N3/08
CPCG06N3/08G06F18/253G06F18/214
Inventor 刘畅
Owner TENCENT TECH (SHENZHEN) CO LTD