Boundary-Guided Lightweight Semantic Segmentation With Multi-Scale Semantic Context-Reference-Cited by-同舟云学术

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Boundary-Guided Lightweight Semantic Segmentation With Multi-Scale Semantic Context

Published:2024 Issue: Volume:26 Page:7887-7900
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Zhou Quan¹^ORCID,Wang Linjie²^ORCID,Gao Guangwei³^ORCID,Kang Bin⁴^ORCID,Ou Weihua⁵^ORCID,Lu Huimin⁶^ORCID

Affiliation:

1. National Engineering Research Center of Communications and Networking, Nanjing University of Posts & Telecommunications, Nanjing, China

2. New H3C Technologies Company Ltd., Hangzhou, China

3. Institute of Advanced Technology, Nanjing University of Posts & Telecommunications, Nanjing, China

4. Department of Internet of Things, Nanjing University of Posts & Telecommunications, Nanjing, China

5. School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China

6. School of Automation, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10462518.pdf?arnumber=10462518

Reference72 articles.

1. Fully convolutional networks for semantic segmentation

2. Pyramid Scene Parsing Network

3. Learning Cross-Channel Representations for Semantic Segmentation

4. Bridging the Gap between Semantic Segmentation and Instance Segmentation

5. Semantic Image Segmentation by Dynamic Discriminative Prototypes

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