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DeepDamageNet: A two-step deep-learning model for multi-disaster
  building damage segmentation and classification using satellite imagery

DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery

8 May 2024
Irene Alisjahbana
Jiawei Li
Ben
Ben Strong
Yue Zhang
ArXivPDFHTML

Papers citing "DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery"

2 / 2 papers shown
Title
Building Damage Detection in Satellite Imagery Using Convolutional
  Neural Networks
Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
Joseph Z. Xu
W. Lu
Zebo Li
Pranav Khaitan
Valeriya Zaytseva
21
131
0
14 Oct 2019
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
345
21,951
0
09 Dec 2016
1