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Model training method, image processing method, related device, equipment and medium

A model training and model technology, applied in character and pattern recognition, instruments, computing, etc., can solve problems such as unsatisfactory registration effect, and achieve the effect of improving image registration effect and performance.

Pending Publication Date: 2022-05-06
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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Problems solved by technology

[0003] However, the existing methods mainly constrain the model training by the registration effect of the deformation parameters output by the registration model on the sample image, and the registration effect is often not ideal.

Method used

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  • Model training method, image processing method, related device, equipment and medium
  • Model training method, image processing method, related device, equipment and medium
  • Model training method, image processing method, related device, equipment and medium

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Embodiment Construction

[0033] The solutions of the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

[0034] In the following description, for purposes of illustration rather than limitation, specific details, such as specific system architectures, interfaces, and techniques, are set forth in order to provide a thorough understanding of the present application.

[0035] The terms "system" and "network" are often used interchangeably herein. The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the character " / " in this article generally indicates that the contextual objects are an "or" relationship. In addition, "many" herein means two or more than two.

[0036] see figure 1 , figure 1 It ...

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Abstract

The invention discloses a model training method, an image processing method, a related device, equipment and a medium, and the method comprises the steps: carrying out the delineation of a first sample image through employing a first delineation model, obtaining a first sample feature map outputted by a first target network layer in the first delineation model, using a second sketching model to sketch the second sample image to obtain a second sample feature map output by a second target network layer in the second sketching model; analyzing the sample image pair by using the registration model to obtain a sample deformation parameter; wherein the sample image pair comprises a first sample image and a second sample image; based on the sample deformation parameter, deforming the first sample feature map to obtain a deformed sample feature map; and adjusting network parameters of the registration model based on the difference between the deformation sample feature map and the second sample feature map. According to the scheme, the image registration effect can be improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a model training method, an image processing method, and related devices, equipment, and media. Background technique [0002] Image registration generally refers to the alignment of images of the same target in spatial position, which is widely used in many scenarios such as face comparison and surgical planning. In addition, thanks to the rapid development of artificial intelligence technology in recent years, the use of neural networks to achieve image registration has gradually become one of the mainstream technologies for image registration. [0003] However, the existing methods mainly constrain the model training by the registration effect of the deformation parameters output by the registration model on the sample images, and the registration effect is often not ideal. In view of this, how to improve the image registration effect has become an ur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/774G06V10/776G06K9/62
CPCG06F18/217G06F18/214
Inventor 胡志强
Owner SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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