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

8 May 2024

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

4 / 4 papers shown

Title
Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks Joseph Z. Xu W. Lu Zebo Li Pranav Khaitan Valeriya Zaytseva 23 131 0 14 Oct 2019
TernausNetV2: Fully Convolutional Network for Instance Segmentation V. Iglovikov Selim S. Seferbekov A. Buslaev Alexey A. Shvets SSeg 58 157 0 03 Jun 2018
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 370 21,951 0 09 Dec 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 333 61,900 0 04 Jun 2015