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Disaster mapping from satellites: damage detection with crowdsourced
  point labels

Disaster mapping from satellites: damage detection with crowdsourced point labels

5 November 2021
Danil Kuzin
Olga Isupova
Brooke D. Simmons
S. Reece
ArXivPDFHTML

Papers citing "Disaster mapping from satellites: damage detection with crowdsourced point labels"

12 / 12 papers shown
Title
Assessing out-of-domain generalization for robust building damage
  detection
Assessing out-of-domain generalization for robust building damage detection
V. Benson
Alexander S. Ecker
OODD
32
22
0
20 Nov 2020
Cross-directional Feature Fusion Network for Building Damage Assessment
  from Satellite Imagery
Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery
Yu Shen
Sijie Zhu
Taojiannan Yang
Chong Chen
45
12
0
27 Oct 2020
Multi-class segmentation under severe class imbalance: A case study in
  roof damage assessment
Multi-class segmentation under severe class imbalance: A case study in roof damage assessment
J. Boin
Nat Roth
Jigar Doshi
Pablo Llueca
Nicolas Borensztein
SSeg
40
7
0
14 Oct 2020
Building Disaster Damage Assessment in Satellite Imagery with
  Multi-Temporal Fusion
Building Disaster Damage Assessment in Satellite Imagery with Multi-Temporal Fusion
Ethan Weber
Hassan Kané
35
92
0
12 Apr 2020
xBD: A Dataset for Assessing Building Damage from Satellite Imagery
xBD: A Dataset for Assessing Building Damage from Satellite Imagery
Ritwik Gupta
Richard Hosfelt
Sandra Sajeev
N. Patel
B. Goodman
Jigar Doshi
Eric T. Heim
Howie Choset
Matthew E. Gaston
53
273
0
21 Nov 2019
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
50
131
0
14 Oct 2019
Large-scale interactive object segmentation with human annotators
Large-scale interactive object segmentation with human annotators
Rodrigo Benenson
S. Popov
V. Ferrari
VLM
106
222
0
26 Mar 2019
BCCNet: Bayesian classifier combination neural network
BCCNet: Bayesian classifier combination neural network
Olga Isupova
Yunpeng Li
Danil Kuzin
Stephen J. Roberts
Katherine J. Willis
S. Reece
31
7
0
29 Nov 2018
xView: Objects in Context in Overhead Imagery
xView: Objects in Context in Overhead Imagery
Darius Lam
Richard Kuzma
Kevin McGee
Samuel Dooley
Michael Laielli
Matthew K. Klaric
Yaroslav Bulatov
Brendan McCord
ObjD
51
322
0
22 Feb 2018
Deep Extreme Cut: From Extreme Points to Object Segmentation
Deep Extreme Cut: From Extreme Points to Object Segmentation
Kevis-Kokitsi Maninis
Sergi Caelles
Jordi Pont-Tuset
Luc Van Gool
65
418
0
24 Nov 2017
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
93
986
0
06 Jun 2015
Dynamic Bayesian Combination of Multiple Imperfect Classifiers
Dynamic Bayesian Combination of Multiple Imperfect Classifiers
Edwin Simpson
Stephen J. Roberts
Ioannis Psorakis
Arfon M. Smith
79
145
0
08 Jun 2012
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