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

Target detection method and device based on target detection model

A target detection and model technology, which is applied to neural learning methods, biological neural network models, character and pattern recognition, etc. To achieve the effect of saving the cost of manual data collection and labeling and data storage, and reducing the cost of deployment and maintenance

Pending Publication Date: 2022-05-10
ZHEJIANG DAHUA TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For the existing target detection algorithms, they are driven by big data. For the target type to be detected, it is necessary to collect a large amount of data sets of the target type for the next step of model training, and the amount of data The size directly affects the performance of existing target detection models, and data collection and labeling is a time-consuming and labor-intensive process that consumes a lot of labor costs

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
  • Target detection method and device based on target detection model
  • Target detection method and device based on target detection model
  • Target detection method and device based on target detection model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application. Additionally, the term "or" as used herein refers to a non-exclusive "or" (ie, "and / or") unless otherwise indicated (eg, "or in addition" or "or in the alternative"). Also, the various embodiments described herein are not necessarily mutually exclusive, as some embodiments can be combined with one or more other embodiments to form new embodiments.

[0058] Specifically, such as figure 1 As shown, the target detection method based on the target dete...

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 a target detection method and device based on a target detection model. The target detection method based on the target detection model comprises the following steps: inputting a target image into a feature extraction unit to obtain a multi-layer feature map of the target image; inputting the to-be-detected image into a feature extraction unit to obtain a multi-layer feature map of the to-be-detected image; and determining whether the to-be-detected image contains the to-be-processed target or not based on a similar feature map of the feature map of each layer of the to-be-detected image and the feature map of the corresponding layer of the target image. According to the invention, manual data acquisition and annotation and data storage cost can be saved.

Description

technical field [0001] The present application relates to the technical field of image detection, in particular to an object detection method and device based on an object detection model. Background technique [0002] Object detection technology is to find objects of interest in images or videos. Different from object classification tasks, object detection not only solves classification problems, but also solves positioning problems. As one of the fundamental problems in computer vision, object detection is the basis for tasks such as instance segmentation, image annotation, and object tracking. The traditional target detection technology is mainly based on manual feature extraction, which is mainly divided into three steps: selecting the region of interest, performing feature extraction on the area that may contain objects, and detecting and classifying the extracted features. [0003] For the existing target detection algorithms, they are driven by big data. For the targ...

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): G06K9/62G06N3/04G06N3/08G06V10/74G06V10/764G06V10/80G06V10/774G06V10/82
CPCG06N3/08G06N3/045G06F18/22G06F18/214G06F18/241G06F18/253
Inventor 熊涛魏乃科潘华东殷俊
Owner ZHEJIANG DAHUA TECH CO LTD
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