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Overview of Image Semantic Segmentation Technology

Authors :
Hu Liangyuan
Chen Xingxing
Li Wang
Hui Li
Source :
2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

With the continuous development of artificial intelligence technology, image semantic segmentation has increasingly become the focus of computer vision and artificial intelligence algorithms. Image semantic segmentation technology has been applied in remote sensing satellite images, agricultural products production, medical diagnosis and treatment and other fields, and these fields need very accurate and effective semantic segmentation technology. This paper summarizes the common semantic segmentation techniques, introduces the main algorithms of image semantic segmentation techniques, mainly explains the image semantic segmentation techniques based on traditional machine learning and image semantic segmentation techniques based on deep learning, expounds the structure of each method, summarizes the performance and effect of each method, and finally expounds our views on the future development direction and challenges of semantic segmentation.

Details

Database :
OpenAIRE
Journal :
2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
Accession number :
edsair.doi...........2845434f885f6942ce117af0c0f369d7