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Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model

Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model

12 June 2024
Kyeongjin Ahn
Sungwon Han
Sungwon Park
Jihee Kim
Sangyoon Park
Meeyoung Cha
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Papers citing "Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model"

3 / 3 papers shown
Title
DamageCAT: A Deep Learning Transformer Framework for Typology-Based Post-Disaster Building Damage Categorization
DamageCAT: A Deep Learning Transformer Framework for Typology-Based Post-Disaster Building Damage Categorization
Yiming Xiao
Ali Mostafavi
21
0
0
15 Apr 2025
Self-supervised pre-training enhances change detection in Sentinel-2
  imagery
Self-supervised pre-training enhances change detection in Sentinel-2 imagery
Marrit Leenstra
Diego Marcos
F. Bovolo
D. Tuia
SSL
77
42
0
20 Jan 2021
Consistency-based Semi-supervised Active Learning: Towards Minimizing
  Labeling Cost
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
M. Gao
Zizhao Zhang
Guo-Ding Yu
Sercan Ö. Arik
L. Davis
Tomas Pfister
165
196
0
16 Oct 2019
1