Fetching the paper…
Reading the bibliography…
Given the importance of remote sensing, surprisingly little attention has been paid to it by the representation learning community.
Transfusion: Understanding transfer learning with applications to medical imaging
Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, and Samy Bengio · 1902
Earlier work this paper cites.
S 4 {}^{\mbox{4}} L: Self-supervised semi-supervised learning
Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov, and Lucas Beyer · 1905
Earlier work this paper cites.
Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
John E. Ball, Derek T. Anderson, and Chee Seng Chan · 1931
Earlier work this paper cites.
Introduction to the physics and techniques of remote sensing , volume 28
Charles Elachi and Jakob J Van Zyl · 2006
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li jia Li, Kai Li, and Li Fei-fei · 2009
Earlier work this paper cites.
Bag-of-visual-words and spatial extensions for land-use classification
Yi Yang and Shawn Newsam · 2010
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Local climate zones for urban temperature studies
I.D. Stewart and T. Oke · 2012
Earlier work this paper cites.
Overfeat: Integrated recognition, localization and detection using convolutional networks, 2013
Pierre Sermanet, David Eigen, Xiang Zhang, Michael Mathieu, Rob Fergus, and Yann LeCun · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
Earlier work this paper cites.
CNN features off-the-shelf: an astounding baseline for recognition
Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson · 2014
Earlier work this paper cites.
How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson · 2014
Cited alongside, same era.
Land Use Classification in Remote Sensing Images by Convolutional Neural Networks
Marco Castelluccio, Giovanni Poggi, Carlo Sansone, and Luisa Verdoliva · 2015
Cited alongside, same era.
Multiview deep learning for land-use classification
F. Luus, B.P. Salmon, F. Bergh, and B. Maharaj · 2015
Cited alongside, same era.
Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks
Dimitrios Marmanis, Mihai Datcu, Thomas Esch, and Uwe Stilla · 2015
Cited alongside, same era.
Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
Cited alongside, same era.
Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
Xiao Xiang Zhu, Devis Tuia, Lichao Mou, Gui-Song Xia, Liangpei Zhang, Feng Xu, and Friedrich Fraundorfer · 2017
Later among the works it cites.
Large scale fine-grained categorization and domain-specific transfer learning
Yin Cui, Yang Song, Chen Sun, Andrew Howard, and Serge J. Belongie · 2018
Later among the works it cites.
A conditional generative adversarial network to fuse sar and multispectral optical data for cloud removal from sentinel-2 images
C. Grohnfeldt, M. Schmitt, and X. Zhu · 2018
Later among the works it cites.
Exploring the limits of weakly supervised pretraining
Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Michael Xie, Neal Jean, Marshall Burke, David Lobell, and Stefano Ermon · 2015
Cited alongside, same era.
Identity mappings in deep residual networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Towards better exploiting convolutional neural networks for remote sensing scene classification
Keiller Nogueira, Otvio A.B. Penatti, and Jefersson A. dos Santos · 2016
Cited alongside, same era.
Remote sensing image scene classification: Benchmark and state of the art
G. Cheng, J. Han, and X. Lu · 2017
Cited alongside, same era.
Filmy cloud removal on satellite imagery with multispectral conditional generative adversarial nets
Kenji Enomoto, Ken Sakurada, Weimin Wang, Hiroshi Fukui, Masashi Matsuoka, Ryosuke Nakamura, and Nobuo Kawaguchi · 2017
Cited alongside, same era.
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Daoyu Lin, Kun Fu, Yang Wang, Guangluan Xu, and Xian Sun · 2017
Cited alongside, same era.
The visual task adaptation benchmark, 2019b
Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, Andre Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, and Neil Houlsby
Cited in the paper.
Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, and Ruoming Pang · 2018
Later among the works it cites.
So2Sat LCZ42, 2018
Xiaoxiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Hossein Bagheri, Jian Kang, Hao Li, Lichao Mou, Guicheng Zhang, Matthias Häberle, Shiyao Han, Yuansheng Hua, Rong Huang, Lloyd Hughes, Yao Sun, Michael Schmitt, and Yuanyuan Wang · 2018
Later among the works it cites.
Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
Patrick Helber, Benjamin Bischke, Andreas Dengel, and Damian Borth · 2019
Closest in time.
Do better imagenet models transfer better?
Simon Kornblith, Jonathon Shlens, and Quoc V. Le · 2019
Closest in time.
Tackling climate change with machine learning, 2019
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, and Yoshua Bengio · 2019
Closest in time.
Bigearthnet: A large-scale benchmark archive for remote sensing image understanding, 2019
Gencer Sumbul, Marcela Charfuelan, Begüm Demir, and Volker Markl · 2019
Closest in time.
A Review of Researches on Deep Learning in Remote Sensing Application
Ming Zhu, Yongning He, and Qingyu He · 2019
Closest in time.