A Real-Time Road Scene Semantic Segmentation Model Based on Spatial Context Learning

A Real-Time Road Scene Semantic Segmentation Model Based on Spatial Context Learning

To address the issues of high computational complexity and insufficient aggregation of global and local information in existing image segmentation methods, this paper proposes an efficient segmentation model based on Spatial Context Learning, named SCLSeg. The main idea is to aggregate local regions...

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Bibliographic Details
Main Authors: Xiaomei Xiao, Jialiang Tang, Xiaoyan Lu, Zhengyong Feng, Yi Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Real-time semantic segmentation
spatial context guidance
feature attention
feature alignment
Online Access:https://ieeexplore.ieee.org/document/10759633/
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https://ieeexplore.ieee.org/document/10759633/

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