Scene segmentation method and device, computer equipment and storage medium

A scene segmentation and sampling module technology, applied in the field of machine learning, can solve the problems of mobile terminals that cannot segment scenes and have a huge amount of computation

Active Publication Date: 2019-08-16
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
View PDF6 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present disclosure provides a scene segmentation method, device, computer equipment, and storage medium to at least solve the technical problem in the ...

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
  • Scene segmentation method and device, computer equipment and storage medium
  • Scene segmentation method and device, computer equipment and storage medium
  • Scene segmentation method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0057] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...

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 relates to a scene segmentation method and device, computer equipment and a storage medium, and relates to the technical field of machine learning. The method includes: inputting the image to be identified into the deep neural network; carrying out depth separable convolution on the image through the down-sampling module; obtaining a first feature map of which the size is smaller than that of the image; performing hole convolution on the first feature map through a hole space pyramid pooling module; obtaining a second feature map of different scales, performing depth separable convolution on the second feature maps of different scales through an up-sampling module to obtain a third feature map with the same size as the image, and classifying each pixel in the third feature map through a classification module to obtain a scene segmentation result of the image. According to the invention, the calculation amount of scene segmentation through the deep neural network can be reduced, and the accuracy of scene segmentation through the deep neural network can be ensured.

Description

technical field [0001] The present disclosure relates to the technical field of machine learning, and in particular to a scene segmentation method, device, computer equipment and storage medium. Background technique [0002] Scene segmentation refers to the technology of predicting which scene each pixel in the image belongs to for a given image. Scene segmentation has become an important and challenging research direction at present, which can be applied to augmented reality, virtual reality and mixed reality. Reality and other fields, the application prospect is very broad. [0003] In related technologies, the process of scene segmentation may include: obtaining a large number of sample images, each pixel of each sample image is marked with the scene to which the pixel belongs; constructing an initial deep neural network, using sample images to perform model training on the initial deep neural network, Obtain a deep neural network; when it is necessary to perform scene s...

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
IPC IPC(8): G06T7/10G06V10/26G06V10/764
CPCG06T7/10G06T2207/20084G06T2207/20081G06T7/11G06N3/08G06V10/26G06V10/82G06V10/764G06N3/045G06F18/2413G06V20/49
Inventor 张渊
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap