Fetching the paper…
Reading the bibliography…
In this paper, we study the problem of efficiently assessing building damage after natural disasters like hurricanes, floods or fires, through aerial video analysis.
Single-shot refinement neural network for object detection
Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, and Stan Z. Li · 2006
Earlier work this paper cites.
The regularized iteratively reweighted mad method for change detection in multi- and hyperspectral data
A. A. Nielsen · 2007
Earlier work this paper cites.
Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection
G. Camps-Valls, L. Gomez-Chova, J. Munoz-Mari, J. L. Rojo-Alvarez, and M. Martinez-Ramon · 2008
Earlier work this paper cites.
Conditional copulas for change detection in heterogeneous remote sensing images
G. Mercier, G. Moser, and S. B. Serpico · 2008
Earlier work this paper cites.
Change detection based on information measure
L. Gueguen, P. Soille, and M. Pesaresi · 2011
Earlier work this paper cites.
A latent analysis of earth surface dynamic evolution using change map time series
C. Vaduva, T. Costachioiu, C. Patrascu, I. Gavat, V. Lazarescu, and M. Datcu · 2013
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, and Piotr Dollár · 2014
Earlier work this paper cites.
Large-scale damage detection using satellite imagery
Lionel Gueguen and Raffay Hamid · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
R-fcn: Object detection via region-based fully convolutional networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun · 2016
Earlier work this paper cites.
Damage assessment operations manual, 2016
Department of Homeland Security Federal Emergency Management Agency (FEMA) · 2016
Cited alongside, same era.
Unsupervised learning of visual representations using videos
Xiaolong Wang and Abhinav Gupta · 2016
Cited alongside, same era.
Convolutional neural networks for disaster images retrieval
Sheharyar Ahmad, Kashif Ahmad, Nasir Ahmad, and Nicola Conci · 2017
Cited alongside, same era.
Soft-nms – improving object detection with one line of code
Navaneeth Bodla, Bharat Singh, Rama Chellappa, and Larry S. Davis · 2017
Cited alongside, same era.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Fusion of satellite, aircraft, and uav data for automatic disaster damage assessment
Mohammad Kakooei and Yasser Baleghi · 2017
Cited alongside, same era.
Benchmark dataset for automatic damaged building detection from post-hurricane remotely sensed imagery
Sean Andrew Chen, Andrew Escay, Christopher Haberland, Tessa Schneider, Valentina Staneva, and Youngjun Choe · 2018
Later among the works it cites.
Acquisition of localization confidence for accurate object detection
Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, and Yuning Jiang · 2018
Later among the works it cites.
Improving object localization with fitness nms and bounded iou loss
Lachlan Tychsen-Smith and Lars Petersson · 2018
Later among the works it cites.
Metaanchor: Learning to detect objects with customized anchors
Tong Yang, Xiangyu Zhang, Zeming Li, Wenqiang Zhang, and Jian Sun · 2018
Later among the works it cites.
Yolact: Real-time instance segmentation
Daniel Bolya, Chong Zhou, Fanyi Xiao, and Yong Jae Lee · 2019
Later among the works it cites.
Hybrid task cascade for instance segmentation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Temporal localization of audio events for conflict monitoring in social media
Junwei Liang, Lu Jiang, and Alexander Hauptmann · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
Cited alongside, same era.
Damage assessment from social media imagery data during disasters
Dat T. Nguyen, Ferda Ofli, Muhammad Imran, and Prasenjit Mitra · 2017
Cited alongside, same era.
Earthquake damage mapping by using remotely sensed data: the Haiti case study
Vito Romaniello, Alessandro Piscini, Christian Bignami, Roberta Anniballe, and Salvatore Stramondo · 2017
Cited alongside, same era.
Cascade r-cnn: Delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2018
Cited alongside, same era.
Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, and Dahua Lin · 2019
Later among the works it cites.
U.s. billion-dollar weather and climate disasters, 2019
NOAA National Centers for Environmental Information (NCEI) · 2019
Later among the works it cites.
xbd: A dataset for assessing building damage from satellite imagery
Ritwik Gupta, Richard Hosfelt, Sandra Sajeev, Nirav Patel, Bryce Goodman, Jigar Doshi, Eric Heim, Howie Choset, and Matthew Gaston · 2019
Later among the works it cites.
Mask scoring r-cnn
Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, and Xinggang Wang · 2019
Later among the works it cites.
Region proposal by guided anchoring
Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, and Dahua Lin · 2019
Later among the works it cites.
Polarmask: Single shot instance segmentation with polar representation
Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Ding Liang, Chunhua Shen, and Ping Luo · 2020
Closest in time.