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

Image instance segmentation method and device

An image and feature map technology, applied in the field of image processing, can solve the problem of low running quality and achieve the effect of sufficient information dissemination, improved speed and accuracy, and improved feature sharing

Inactive Publication Date: 2019-10-18
北京悉见科技有限公司
View PDF7 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a method and device for image instance segmentation to solve the problem that the running quality of image instance segmentation is relatively low on devices with relatively low hardware levels

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 instance segmentation method and device
  • Image instance segmentation method and device
  • Image instance segmentation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0056] see figure 1 , figure 1 is a flow chart of an image instance segmentation method provided by an embodiment of the present invention, such as figure 1 shown, including the following steps:

[0057] Step 101: Obtain feature maps of multiple levels of the image.

[0058]In this embodiment, the obtained multi-level feature maps correspond to features of different complexity, wherein low-level features correspond to features with relatively l...

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 provides an image instance segmentation method and device. The method comprises the steps of obtaining feature maps of multiple levels of an image; fusing at least two levels of featuremaps in the plurality of levels of feature maps to obtain a detection shared feature map; inputting the detection sharing feature map into a target detection sub-network to obtain a target area, the target being an object in the image; fusing the detection sharing feature map and the feature map of at least one level in the feature maps of the plurality of levels to obtain a segmentation sharing feature map; and segmenting the image in the target area according to the segmentation sharing feature map to obtain an instance segmentation result. According to the embodiment of the invention, feature sharing during target detection and target segmentation is improved, so that information propagation between the target detection task and the segmentation task is more sufficient, and the speed and precision of instance segmentation are improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image instance segmentation method and device. Background technique [0002] Image instance segmentation refers to the process of detecting objects in an image and segmenting the detected objects. The computational efficiency of existing image instance segmentation is low. For example, when image instance segmentation is performed on real-time collected video images, in order to ensure the display effect, it is necessary to detect and segment real-time collected images, and the amount of data processing is large, requiring a large calculation amount. Contents of the invention [0003] Embodiments of the present invention provide a method and device for image instance segmentation to solve the problem that image instance segmentation has relatively low running quality on devices with relatively low hardware levels. [0004] In order to solve the problems of...

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): G06T7/11G06K9/62G06K9/46
CPCG06T7/11G06T2207/20081G06T2207/20084G06V10/40G06V2201/07G06F18/253
Inventor 钱智明刘洋
Owner 北京悉见科技有限公司
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