RescueNet: Joint Building Segmentation and Damage Assessment from Satellite Imagery

15 April 2020

Papers citing "RescueNet: Joint Building Segmentation and Damage Assessment from Satellite Imagery"

6 / 6 papers shown

Title
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response Hongruixuan Chen Jian Song Olivier Dietrich Clifford Broni-bediako Weihao Xuan ... Yimin Wei J. Xia Cuiling Lan Konrad Schindler Naoto Yokoya 105 6 0 10 Jan 2025
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model Kyeongjin Ahn Sungwon Han Sungwon Park Jihee Kim Sangyoon Park Meeyoung Cha 54 2 0 12 Jun 2024
Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks Joseph Z. Xu W. Lu Zebo Li Pranav Khaitan Valeriya Zaytseva 25 131 0 14 Oct 2019
Learning to predict crisp boundaries Ruoxi Deng Chunhua Shen S. Liu Huibing Wang Xinru Liu 44 238 0 26 Jul 2018
TernausNetV2: Fully Convolutional Network for Instance Segmentation V. Iglovikov Selim S. Seferbekov A. Buslaev Alexey A. Shvets SSeg 61 157 0 03 Jun 2018
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation Abhishek Chaurasia Eugenio Culurciello SSeg 41 1,375 0 14 Jun 2017