Smoke-Aware Global-Interactive Non-Local Network for Smoke Semantic Segmentation-Reference-Cited by-同舟云学术

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Smoke-Aware Global-Interactive Non-Local Network for Smoke Semantic Segmentation

Published:2024 Issue: Volume:33 Page:1175-1187
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zhang Lin¹^ORCID,Wu Jing¹,Yuan Feiniu²^ORCID,Fang Yuming³

Affiliation:

1. School of Big Data Science, Jiangxi Science and Technology Normal University, Nanchang, China

2. College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China

3. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China

Funder

National Natural Science Foundation of China

Jiangxi Provincial Natural Science Foundation

Key Science and Technology Project of Jiangxi Provincial Department of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10422777.pdf?arnumber=10422777

Reference72 articles.

1. Smoke detection: Critical element of a university residential fire safety program;Robinson;J. Amer. College Health Assoc.,1979

2. Deep smoke segmentation

3. A Wave-Shaped Deep Neural Network for Smoke Density Estimation

4. Cubic-cross convolutional attention and count prior embedding for smoke segmentation

5. A cross-scale mixed attention network for smoke segmentation

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