HSNet: An Intelligent Hierarchical Semantic-Aware Network System for Real-Time Semantic Segmentation-Reference-Cited by-同舟云学术

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HSNet: An Intelligent Hierarchical Semantic-Aware Network System for Real-Time Semantic Segmentation

Published:2024-07 Issue:7 Volume:54 Page:4318-4330
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Peng Xin¹^ORCID,Cheng Jieren¹^ORCID,Tang Xiangyan¹,Deng Ziqi²,Tu Wenxuan³^ORCID,Xiong Neal⁴^ORCID

Affiliation:

1. School of Computer Science and Technology, Hainan University, Haikou, China

2. School of Applied Science and Technology, Hainan University, Haikou, China

3. College of Computing, National University of Defense Technology, Changsha, China

4. Department of Computer, Mathematical and Physical Sciences, Sul Ross State University, Alpine, TX, USA

Funder

Key Research and Development Program of Hainan Province

National Natural Science Foundation of China

Major Science and Technology Project of Hainan Province

Hainan Provincial Natural Science Foundation of China

Youth Foundation Project of Hainan Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221021/10559915/10495017.pdf?arnumber=10495017

Reference61 articles.

1. A Two-Stream CNN With Simultaneous Detection and Segmentation for Robotic Grasping

2. Dual Contrastive Learning Network for Graph Clustering

3. RARE: Robust Masked Graph Autoencoder

4. Multi-view graph imputation network

5. ParallelEye Pipeline: An Effective Method to Synthesize Images for Improving the Visual Intelligence of Intelligent Vehicles

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1. Multi-scale graph clustering network;Information Sciences;2024-09

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