CSNet: Cross-Stage Subtraction Network for Real-Time Semantic Segmentation in Autonomous Driving

Mohammed A. M. Elhassan; Changjun Zhou; Donglin Zhu; Abuzar B. M. Adam; Amina Benabid; Ali Khan; Atif Mehmood; Jun Zhang; Jin Hu; Sang-Woon Jeon

doi:10.1109/tits.2024.3519162

JOURNAL ARTICLE

CSNet: Cross-Stage Subtraction Network for Real-Time Semantic Segmentation in Autonomous Driving

Mohammed A. M. Elhassan Changjun Zhou Donglin Zhu Abuzar B. M. Adam Amina Benabid Ali Khan Atif Mehmood Jun Zhang Jin Hu Sang-Woon Jeon

Year: 2024 Journal: IEEE Transactions on Intelligent Transportation Systems Vol: 26 (3)Pages: 4093-4108 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tits.2024.3519162

Get Full-Text PDF Get Analytical Report

Keywords:

Segmentation Computer science Artificial intelligence Background subtraction Stage (stratigraphy) Computer vision Subtraction Geology Mathematics Arithmetic

Metrics

Cited By

1.06

FWCI (Field Weighted Citation Impact)

Refs

0.71

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Web Data Mining and Analysis

Physical Sciences → Computer Science → Information Systems

CSNet: Cross-Stage Subtraction Network for Real-Time Semantic Segmentation in Autonomous Driving

Metrics

Citation History

Topics

Related Documents

A Scalable Real-time Semantic Segmentation Network for Autonomous Driving

Contextual Guidance Network for Real-Time Semantic Segmentation of Autonomous Driving

Fast real-time semantic segmentation for autonomous driving

MLRFNet: Multi-Level Real-Time Fusion Semantic Segmentation Network for Autonomous Driving

S-Net: A Lightweight Real-Time Semantic Segmentation Network for Autonomous Driving