Image feature fusion method, device and medium

A technology of image features and fusion methods, which is applied in the field of machine learning, can solve problems that affect the update of node feature parameters, unfavorable capture of edge feature information, etc., to achieve automatic learning, improve analysis performance, and improve non-parametric problems.

Active Publication Date: 2022-02-25
腾讯医疗健康(深圳)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, with the continuous learning of the network, the fixed adjacency matrix is ​​not conducive to the network to capture the edge feature information between nodes, thus affecting the update of node feature parameters

Method used

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  • Image feature fusion method, device and medium
  • Image feature fusion method, device and medium
  • Image feature fusion method, device and medium

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Embodiment Construction

[0034] Various preferred embodiments of the present invention will be described below with reference to the accompanying drawings. The following description with reference to the accompanying drawings is provided to assist understanding of example embodiments of the invention as defined by the claims and their equivalents. It includes various specific details to aid in understanding but they are to be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, detailed descriptions of functions and constructions well-known in the art will be omitted to make the description clearer and more concise.

[0035] First, refer to figure 1 An image feature fusion method according to an embodiment of the present disclosure is described. Such as figure 1 As shown, the image feature fusion method incl...

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Abstract

Disclosed are an image feature fusion method, device and medium. The image feature fusion method includes: inputting at least two associated images into a feature extraction network; extracting feature information corresponding to each of the at least two images through the feature extraction network; providing the extracted feature information as point feature information of each node in the graph convolutional neural network; and through the graph convolutional neural network, based on the point feature information of each node and the edge feature information of the edges connecting each node, Determining the fused feature information of each node, and updating the feature information corresponding to each of the at least two images based on the fused feature information of each node, so as to obtain the fused feature corresponding to each image Information, wherein the edge feature information is a weight value indicating the strength of the dependency relationship between the two connected nodes, and the strength of the dependency relationship includes at least three different levels.

Description

technical field [0001] The present disclosure relates to the technical field of machine learning, and more specifically, to an image feature fusion method, device and medium. Background technique [0002] Machine learning is the science of how to use computers to simulate or realize human learning activities. It is the most intelligent feature in artificial intelligence and one of the most cutting-edge research fields. Since the 1980s, machine learning, as a way to realize artificial intelligence, has aroused widespread interest in the field of artificial intelligence. one of the subjects. Whether a system has the ability to learn has become a sign of "intelligence". [0003] In machine learning, it is usually necessary to construct a model (eg, a neural network) to extract features from input information, and output corresponding analysis results (eg, prediction results) based on each extracted feature. The feature fusion method learns by combining the effective informat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/774G06V10/80G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/253
Inventor 李悦翔陈嘉伟郑冶枫
Owner 腾讯医疗健康(深圳)有限公司
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