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Semantic segmentation for aerial imagery is a challenging and important problem in remotely sensed imagery analysis.
“The ISPRS benchmark on urban object classification and 3d building reconstruction,”
Franz Rottensteiner, Gunho Sohn, Jae-Yoon Jung, Markus Gerke, Caroline Baillard, S. Gomez Benitez, and Uwe Breitkopf, · 2012
Earlier work this paper cites.
“Adam: A method for stochastic optimization,”
Diederik P. Kingma and Jimmy Lei Ba, · 2014
Earlier work this paper cites.
“Fully convolutional networks for semantic segmentation,”
Jonathan Long, Evan Shelhamer, and Trevor Darrell, · 2015
Earlier work this paper cites.
“Stacked hourglass networks for human pose estimation,”
Alejandro Newell, Kaiyu Yang, and Jia Deng, · 2016
Earlier work this paper cites.
“Convolutional pose machines,”
Shih-En Wei, Varun Ramakrishna, Takeo Kanade, and Yaser Sheikh, · 2016
Earlier work this paper cites.
“Human pose estimation with iterative error feedback,”
João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, and Jitendra Malik, · 2016
Earlier work this paper cites.
“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
Earlier work this paper cites.
“Tensorflow: Large-scale machine learning on heterogeneous distributed systems,”
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, and Zhifeng Chen, · 2016
Cited alongside, same era.
“Dense semantic labeling of subdecimeter resolution images with convolutional neural networks,”
Michele Volpi and Devis Tuia, · 2017
Cited alongside, same era.
“Learning aerial image segmentation from online maps,”
Pascal Kaiser, Jan Dirk Wegner, Aurelien Lucchi, Martin Jaggi, Thomas Hofmann, and Konrad Schindler, · 2017
Cited alongside, same era.
“Dense semantic labeling of very-high-resolution aerial imagery and lidar with fully-convolutional neural networks and higher-order crfs,”
Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, and Eli Saber, · 2017
Cited alongside, same era.
“Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks,”
Nicolas Audebert, Bertrand Le Saux, and Sébastien Lefèvre, · 2017
“Deep TEN: Texture encoding network,”
Hang Zhang, Jia Xue, and Kristin Dana, · 2017
Later among the works it cites.
“Pyramid scene parsing network,”
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia, · 2017
Later among the works it cites.
Lichao Mou and Xiao Xiang Zhu, · 2018
Closest in time.
“Context encoding for semantic segmentation,”
Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, and Amit Agrawal, · 2018
Closest in time.
“PSANet:: Point-wise spatial attention network for scene parsing,”
Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, and Jiaya Jia, · 2018
Closest in time.
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Cited alongside, same era.
“SegNet: A deep convolutional encoder-decoder architecture for image segmentation,”
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla, · 2017
Cited alongside, same era.
“Semantic segmentation for high-resolution aerial imagery using multi-skip network and markov random fields,”
Jiankun Li, Wenrui Ding, Hongguang Li, and Chunlei Liu, · 2017
Cited alongside, same era.
Jun Fu, Jing Liu, Haijie Tian, Zhiwei Fang, and Hanqing Lu, · 2018
Closest in time.