Target detection method and device

A target detection and target management technology, which is applied in the field of target detection methods and devices, can solve the problems of consuming human resources and achieve the effects of saving human resources, high reliability, and improving robustness

Pending Publication Date: 2022-03-01
HANGZHOU HIKVISION DIGITAL TECH
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in order to obtain labeled data, it is necessary to label the data, which requires a lot of human resources

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
  • Target detection method and device
  • Target detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, rather than limiting the present application. As used in this application and the claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items.

[0024] It should be understood that although the embodiments of the present application may use terms such as first, second, and third to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the present application, first information may also be called second information, and similarly, second...

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 a target detection method and device, and the method comprises the steps: adding a pseudo tag for label-free data, and dividing the pseudo tag into a high-quality pseudo tag and an uncertain pseudo tag; inputting the label-free data into the initial learning model to obtain a first predicted value; determining a first prediction label and a first prediction frame based on a first prediction value corresponding to the high-quality pseudo label, and determining a second prediction label and a second prediction frame based on a first prediction value corresponding to the uncertain pseudo label; inputting the label-free data into the initial management model to obtain a second prediction value, and determining a third prediction label and a third prediction frame based on the second prediction value corresponding to the uncertain pseudo label; and training the initial management model based on the first prediction label, the first prediction frame, the second prediction label, the second prediction frame, the third prediction label and the third prediction frame to obtain a target management model which is used for performing target detection on the to-be-detected data. Through the scheme of the invention, acquisition of a large amount of labeled data is avoided.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a target detection method and device. Background technique [0002] Machine learning is a way to realize artificial intelligence. It is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. Machine learning is used to study how computers simulate or implement human learning behaviors to acquire new knowledge or skills, and reorganize existing knowledge structures to continuously improve their own performance. Machine learning pays more attention to algorithm design, enabling computers to automatically learn laws from data and use the laws to predict unknown data. Machine learning has been used in a wide range of applications, such as deep learning, data mining, computer vision, natural language processing, biometric recognition, search ...

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): G06K9/62G06V10/30
CPCG06F18/241G06F18/214
Inventor 陈斌斌陈伟杰杨世才
Owner HANGZHOU HIKVISION DIGITAL TECH
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