Display scene recognition method and device, equipment and storage medium

A scene recognition and scene technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as high cost and maintenance of a large number of pictures

Active Publication Date: 2021-11-09
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method needs to maintain a large number of images, and the labeling cost is high

Method used

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  • Display scene recognition method and device, equipment and storage medium
  • Display scene recognition method and device, equipment and storage medium
  • Display scene recognition method and device, equipment and storage medium

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Embodiment Construction

[0025] The exemplary embodiments of the present disclosure will be described below, including various details of the embodiments of the present disclosure to facilitate understanding, and they should be considered simply exemplary. Accordingly, it will be appreciated by those skilled in the art that various changes and modifications can be made without departing from the scope and spirit of the disclosure. Also, for the sake of clarity and concise, the following description is omitted in the following description.

[0026] figure 1 An exemplary system architecture 100 that can be applied to an exemplary training method or a model training method or an exemplary training method of the present disclosure or a model training device.

[0027] like figure 1 As shown, the system architecture 100 can include terminal devices 101, 102, 103, network 104, and server 105. Network 104 is used to provide a communication link between terminal devices 101, 102, 103, and server 105. Network 104 ...

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Abstract

The invention provides a display scene recognition method and device, a model training method and device, equipment, a storage medium and a computer program product, relates to the technical field of artificial intelligence, in particular to the technical field of computer vision and deep learning, and can be applied to scenes such as image processing and image recognition. According to the specific implementation scheme, the method comprises the steps of obtaining feature vectors of a to-be-recognized image and obtaining a base library feature vector set; determining at least two candidate feature vectors from the bottom library feature vector set based on the feature vector of the to-be-recognized image and the similarity coefficient of each feature vector in the bottom library feature vector set; performing threshold judgment on the similarity coefficients of the at least two candidate feature vectors to obtain a target feature vector; and determining the display scene of the to-be-recognized image based on the display scene label corresponding to the target feature vector. The display scene is identified according to a mode of performing threshold judgment on the similarity coefficient of the candidate feature vector, so that the accuracy is ensured, the labeling cost is reduced, and the identification efficiency is improved.

Description

Technical field [0001] The present disclosure relates to the field of artificial intelligence, specifically for computer vision and depth learning technology, can be applied to image processing, image recognition, etc. Program product. Background technique [0002] At present, in the display field, it is usually identified according to the global characteristics of the image to be detected and at least one partial feature. But the method needs to maintain a large number of pictures, the annotation is high. Inventive content [0003] The present disclosure provides an exhibition scenario identification method, model training method, device, device, storage medium, and computer program product, improves scene identification efficiency. [0004] According to an aspect of the present disclosure, an exhibition site recognition method is provided, including: obtaining a feature vector to be identified and acquires a basement feature vector set; a feature vector based on the image to b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/22G06F18/214G06V20/70G06V10/761G06V20/46G06V10/774
Inventor 陈科桦倪子涵安容巧孙逸鹏陈玥蓉姚锟
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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