Semantic segmentation with context encoding and multi-path decoding

Semantic segmentation with context encoding and multi-path decoding

Semantic image segmentation aims to classify every pixel of a scene image to one of many classes. It implicitly involves object recognition, localization, and boundary delineation. In this paper, we propose a segmentation network called CGBNet to enhance the paring results by context encoding and mu...

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Bibliographic Details
Main Authors: Ding, Henghui, Jiang, Xudong, Shuai, Bing, Liu, Ai Qun, Wang, Gang
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Electrical and electronic engineering
Semantic Segmentation
Context Encoding
Online Access:https://hdl.handle.net/10356/161039

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