SegTransConv: Transformer and CNN Hybrid Method for Real-Time Semantic Segmentation of Autonomous Vehicles-Reference-Cited by-同舟云学术

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SegTransConv: Transformer and CNN Hybrid Method for Real-Time Semantic Segmentation of Autonomous Vehicles

Published:2024-02 Issue:2 Volume:25 Page:1586-1601
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Fan Jiaqi¹^ORCID,Gao Bingzhao²^ORCID,Ge Quanbo³^ORCID,Ran Yabing²,Zhang Jia⁴,Chu Hongqing²^ORCID

Affiliation:

1. Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China

2. School of Automotive Studies, Tongji University, Shanghai, China

3. School of Automation, Nanjing University of Information Science and Technology, Nanjing, China

4. Beijing Institute of Technology, Beijing, China

Funder

Shanghai Municipal Science and Technology Major Project

National Natural Science Foundation of China

Porsche edow

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10419116/10254444.pdf?arnumber=10254444

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1. HSNet: An Intelligent Hierarchical Semantic-Aware Network System for Real-Time Semantic Segmentation;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-07

2. Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentation;Image and Vision Computing;2024-06

3. LCFNets: Compensation Strategy for Real-Time Semantic Segmentation of Autonomous Driving;IEEE Transactions on Intelligent Vehicles;2024-04

4. Dual-resolution transformer combined with multi-layer separable convolution fusion network for real-time semantic segmentation;Computers & Graphics;2024-02

5. ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation;International Journal of Machine Learning and Cybernetics;2024-01-29

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