Semantic segmentation method, semantic segmentation device, semantic segmentation system and storage medium

Abstract

The embodiment of the invention provides a semantic segmentation method, a semantic segmentation device, a semantic segmentation system and a storage medium. The method comprises the steps of: obtaining an image to be processed; and inputting the image to be processed into a U-shaped network, so that a semantic segmentation result of the image to be processed output by the U-shaped network is obtained, wherein the contraction path of the U-shaped network comprises n convolutional modules, which are connected in sequence; output features of the ith convolutional module in the n convolutional modules are combined with output features of at least one convolutional module after the ith convolutional module; the combined features are in jump connection with the output end of a deconvolution layer in the contraction path of the U-shaped network and corresponding to the ith convolutional module, wherein n is an integer, which is greater than 1; and i is greater than or equal to 1 and less than n. According to the semantic segmentation method, the semantic segmentation device, the semantic segmentation system and the storage medium in the embodiment of the invention, because of adoption ofshallow features and deep features, the U-shaped network can be well improved in a fusion manner; and thus, a relatively accurate semantic segmentation result can be obtained.

Description

technical field [0001] The present invention relates to the computer field, and more specifically relates to a semantic segmentation method, device, system and storage medium. Background technique [0002] Semantic segmentation is a relatively basic task in computer vision. At present, the use of convolutional neural network (CNN) to solve this task mainly follows the method of Fully Convolutional Network (Fully Convolutional Network), because the semantic segmentation task needs to classify each pixel on the image. At present, a relatively mainstream network structure for semantic segmentation is U-shaped network (ie U-Net). There is still room for improvement in the existing U-Net. Contents of the invention [0003] The present invention has been made in consideration of the above-mentioned problems. The invention provides a semantic segmentation method, device, system and storage medium. [0004] According to one aspect of the present invention, a semantic segmentat...

AI Technical Summary

Problems solved by technology

There is still room for improvement in the existing U-Net

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