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Semantic segmentation method and device based on few samples, electronic equipment and storage medium

A sample and prospect technology, applied in image analysis, image enhancement, instrumentation, etc., can solve the problems of insufficient segmentation accuracy of semantic segmentation network and inability to meet training requirements.

Active Publication Date: 2020-12-29
创新奇智(上海)科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This results in fewer sample images corresponding to such commodities, which cannot meet the training requirements, making the segmentation accuracy of the semantic segmentation network insufficient

Method used

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  • Semantic segmentation method and device based on few samples, electronic equipment and storage medium
  • Semantic segmentation method and device based on few samples, electronic equipment and storage medium
  • Semantic segmentation method and device based on few samples, electronic equipment and storage medium

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Embodiment Construction

[0050] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0051] Like numbers and letters denote similar items in the following figures, so that once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", etc. are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0052] figure 1 It is a schematic diagram of the application scenario of the semantic segmentation method based on few samples provided by the embodiment of this application. Such as figure 1 As shown, the application scenario includes a server 30 and a client 20, the client 20 can be a network camera, or a host connected to the camera, and is used to send images that need to be semanticall...

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Abstract

The invention provides a semantic segmentation method and device based on few samples, electronic equipment and a computer readable storage medium, and the method comprises the steps of enabling a target image combination to serve as the input of a trained feature extraction network, and obtaining the image features of each image in the target image combination, wherein the target image combination comprises a to-be-identified target category, a plurality of support images and a query image, and the support images carry foreground masks and background masks corresponding to the to-be-identified target category; calculating a foreground class prototype and a background class prototype corresponding to the to-be-identified target class based on the image feature, the foreground mask and thebackground mask of each support image; and based on the image features, the foreground class prototype and the background class prototype of the query image, determining a prediction foreground mask corresponding to the to-be-identified target class on the query image. For the to-be-identified target category with few samples, semantic segmentation can be realized by means of the feature extraction network trained by the sample images marked with other categories.

Description

technical field [0001] This application relates to the technical field of retail management, in particular to a method and device for semantic segmentation based on few samples, electronic equipment, and a computer-readable storage medium. Background technique [0002] The proportion of retail goods refers to the proportion of goods in the distribution channel. With the development of machine vision technology, the method of deep learning has gradually replaced manual statistics and has become the first choice for retailers to obtain the proportion of retail goods. In application, the method of deep learning can be used to calculate the proportion of goods in the area of ​​distribution channels to determine the proportion of retail goods. For example: the ratio of the display area of ​​a certain brand of ice cream in a freezer filled with ice cream to the total area of ​​the freezer can be considered as the proportion of retail products of this brand of ice cream. [0003]...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10G06K9/62G06T7/194
CPCG06T7/10G06T7/194G06T2207/10004G06F18/241G06F18/253Y02D10/00
Inventor 秦永强刘金露
Owner 创新奇智(上海)科技有限公司
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