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Method, device and computer program product applied to target detection

A target detection and network technology, applied in the field of artificial intelligence, to achieve the effect of improving accuracy

Active Publication Date: 2022-05-27
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, in the design of the target detection network on the mobile terminal, most methods are based on the cost-effective anchor-base (anchor frame-based) target detection algorithm on the server side to further reduce the weight, and seldom do targeted optimization for the mobile terminal.

Method used

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  • Method, device and computer program product applied to target detection
  • Method, device and computer program product applied to target detection
  • Method, device and computer program product applied to target detection

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Embodiment Construction

[0024] Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding and should be considered 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 present disclosure. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

[0025] In the technical solutions of the present disclosure, the collection, storage, use, processing, transmission, provision, and disclosure of the user's personal information involved are all in compliance with relevant laws and regulations, and do not violate public order and good customs.

[0026] figure 1 An exemplary architecture 100 is shown to which method...

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Abstract

The disclosure provides methods, devices, electronic equipment, storage media and computer program products applied to target detection, specifically related to computer vision and deep learning technologies, and can be used in target detection scenarios. The specific implementation plan is: add the first network used to determine the attention of different convolution channels in each module of the preset convolutional network to obtain the feature extraction network; the second network based on the feature map used to aggregate different paths and a third network for fusing different feature maps to obtain a feature processing network; training an initial target detection network based on a feature extraction network and a feature processing network through a preset training set to obtain a trained target detection network. The present disclosure provides a specific method for obtaining an object detection network applicable to mobile terminals, which improves the accuracy of the object detection network.

Description

technical field [0001] The present disclosure relates to the field of artificial intelligence, in particular to computer vision and deep learning technologies, and in particular to methods, apparatuses, electronic devices, storage media and computer program products applied to target detection, which can be used in target detection scenarios. Background technique [0002] Object detection refers to the technology of determining the object of interest in an image or video, and simultaneously detecting the position and size of the object of interest. It is one of the most important and challenging tasks in the field of computer vision and is widely used. To fields such as industrial quality inspection, intelligent transportation and autonomous driving. At present, in the design of the target detection network on the mobile terminal, most methods are based on the server-side cost-effective anchor-base (anchor frame-based) target detection algorithm, which is further lightweight...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/40G06V10/764G06V10/774G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/253G06F18/24G06F18/214
Inventor 于广华党青青吕文玉邓凯鹏徐畅赖宝华刘其文文灿胡晓光马艳军
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD