FireDM: A weakly-supervised approach for massive generation of multi-scale and multi-scene fire segmentation datasets-Reference-Cited by-同舟云学术

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FireDM: A weakly-supervised approach for massive generation of multi-scale and multi-scene fire segmentation datasets

Published:2024-04 Issue: Volume:290 Page:111547
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zheng Hongtao^ORCID,Wang Meng,Wang Zilong^ORCID,Huang Xinyan^ORCID

Funder

University Grants Committee Research Grants Council

Publisher

Elsevier BV

Reference105 articles.

1. Wildfires: Opportunity for restoration?;Leverkus;Science,2019

2. The global wildland–urban interface;Schug;Nature,2023

3. An Introduction to Fire Dynamics;Drysdale,2011

4. A review of critical fire event library for buildings and safety framework for smart firefighting;Khan;Int. J. Disaster Risk Reduct.,2022

5. Tunnel Fire Dynamics;Ingason,2014

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