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Deep learning self-supervised algorithms that can segment an image in a fixed number of hard labels such as the k-means algorithm and relying only on deep learning techniques are still lacking.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Remote sensing digital image analysis , volume 3
John Alan Richards and JA Richards · 1999
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Terralib: An open source gis library for large-scale environmental and socio-economic applications
Gilberto Câmara, Lúbia Vinhas, Karine Reis Ferreira, Gilberto Ribeiro De Queiroz, Ricardo Cartaxo Modesto De Souza, Antônio Miguel Vieira Monteiro, Marcelo Tílio De Carvalho, Marco Antonio Casanova, and Ubirajara Moura De Freitas · 2008
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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High-resolution global maps of 21st-century forest cover change
M. C. Hansen, P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend · 2013
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Landscape biogeochemistry reflected in shifting distributions of chemical traits in the Amazon forest canopy
Gregory P. Asner, Christopher B. Anderson, Roberta E. Martin, Raul Tupayachi, David E. Knapp, and Felipe Sinca · 2015
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Mapping tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data
Matheus Pinheiro Ferreira, Maciel Zortea, Daniel Capella Zanotta, Yosio Edemir Shimabukuro, and Carlos Roberto de Souza Filho · 2016
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Binaryconnect: Training deep neural networks with binary weights during propagations, 2016
Matthieu Courbariaux, Yoshua Bengio, and Jean-Pierre David · 2016
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keras: R Interface to ’Keras’ , 2016
JJ Allaire and François Chollet · 2016
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R: A Language and Environment for Statistical Computing
R Core Team · 2016
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Planet application program interface: In space for life on earth, 2017
Planet Team · 2017
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Adam: A method for stochastic optimization, 2017
Diederik P. Kingma and Jimmy Ba · 2017
Unsupervised object segmentation by redrawing, 2019
Mickaël Chen, Thierry Artières, and Ludovic Denoyer · 2019
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GDAL/OGR Geospatial Data Abstraction software Library
GDAL/OGR contributors · 2019
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Using the u-net convolutional network to map forest types and disturbance in the atlantic rainforest with very high resolution images
Fabien H. Wagner, Alber Sanchez, Yuliya Tarabalka, Rodolfo G. Lotte, Matheus P. Ferreira, Marcos P. M. Aidar, Emanuel Gloor, Oliver L. Phillips, and Luiz E. O. C. Aragão · 2019
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Reconstructing three decades of land use and land cover changes in brazilian biomes with landsat archive and earth engine
Carlos M Souza, Julia Z Shimbo, Marcos R Rosa, Leandro L Parente, Ane A Alencar, Bernardo FT Rudorff, Heinrich Hasenack, Marcelo Matsumoto, Laerte G Ferreira, Pedro WM Souza-Filho, et al · 2020
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Unsupervised learning of image segmentation based on differentiable feature clustering
Wonjik Kim, Asako Kanezaki, and Masayuki Tanaka · 2020
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Project mapbiomas, collection 2.3 of brazilian land cover & use map series
MapBiomas · 2018
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True gradient-based training of deep binary activated neural networks via continuous binarization
Charbel Sakr, Jungwook Choi, Zhuo Wang, Kailash Gopalakrishnan, and Naresh Shanbhag · 2018
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Uncovering ecological patterns with convolutional neural networks
Philip G. Brodrick, Andrew B. Davies, and Gregory P. Asner · 2019
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Clusternet: unsupervised generic feature learning for fast interactive satellite image segmentation
Nicolas Girard, Andrii Zhygallo, and Yuliya Tarabalka · 2019
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Binary neural networks: A survey
Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, and Nicu Sebe · 2020
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Review on convolutional neural networks (cnn) in vegetation remote sensing
Teja Kattenborn, Jens Leitloff, Felix Schiefer, and Stefan Hinz · 2020
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Emerging properties in self-supervised vision transformers, 2021
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Deep learning-based clustering approaches for bioinformatics
Md Rezaul Karim, Oya Beyan, Achille Zappa, Ivan G Costa, Dietrich Rebholz-Schuhmann, Michael Cochez, and Stefan Decker · 2021
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Planet imagery product specifications
Planet · 2021
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