Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image feature fusion method and device, and medium

An image feature and fusion method technology, applied in the field of machine learning, can solve problems such as affecting node feature parameter update, disadvantageously capturing edge feature information, etc., to achieve the effect of automatic learning, improving analysis performance, and improving non-parametric problems

Active Publication Date: 2020-04-17
腾讯医疗健康(深圳)有限公司
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image feature fusion method and device, and medium
  • Image feature fusion method and device, and medium
  • Image feature fusion method and device, and medium

Examples

Experimental program
Comparison scheme
Effect test

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. like figure 1 As shown, the image feature fusion method include...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an image feature fusion method and device, and a medium. The image feature fusion method comprises the following steps: inputting at least two images with an association relationship into a feature extraction network; respectively 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; determining the fused feature information of each node through a convolutional neural network and based on the point feature information of each node and the edge feature information of the edge connected with each node; based on the fused feature information of each node, updating the feature information corresponding to each of the at least two images to obtain fusion feature information corresponding to each image, the edge feature information being a weight value indicating the degree ofdependence between two connected nodes, and the degree of dependence comprising 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com