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Learning to Interpret Satellite Images in Global Scale Using Wikipedia

7 May 2019

Papers citing "Learning to Interpret Satellite Images in Global Scale Using Wikipedia"

21 / 21 papers shown

Title
Predicting Economic Development using Geolocated Wikipedia Articles Evan Sheehan Chenlin Meng M. Tan Burak Uzkent Neal Jean David B. Lobell Marshall Burke Stefano Ermon 60 78 0 05 May 2019
Learning to Interpret Satellite Images Using Wikipedia Evan Sheehan Burak Uzkent Chenlin Meng Zhongyi Tang Marshall Burke David B. Lobell Stefano Ermon 48 37 0 19 Sep 2018
Adversarial Constraint Learning for Structured Prediction Hongyu Ren Russell Stewart Jiaming Song Volodymyr Kuleshov Stefano Ermon 36 16 0 27 May 2018
Tile2Vec: Unsupervised representation learning for spatially distributed data Neal Jean Sherrie Wang Anshul Samar G. Azzari David B. Lobell Stefano Ermon SSL 73 199 0 08 May 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 185 1,368 0 02 May 2018
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 73 1,028 0 28 Nov 2017
Functional Map of the World Gordon A. Christie Neil Fendley James Wilson R. Mukherjee VGen 73 393 0 21 Nov 2017
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters Burak Uzkent Aneesh Rangnekar Matthew J. Hoffman 43 116 0 20 Nov 2017
Learning Aerial Image Segmentation from Online Maps Pascal Kaiser Jan Dirk Wegner Aurelien Lucchi Martin Jaggi Thomas Hofmann Konrad Schindler SSeg SSL 39 284 0 21 Jul 2017
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps Burak Uzkent Aneesh Rangnekar M. J. Hoffman 43 80 0 12 Jul 2017
Learning Two-Branch Neural Networks for Image-Text Matching Tasks Liwei Wang Yin Li Jing-ling Huang Svetlana Lazebnik VLM 70 498 0 11 Apr 2017
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge Russell Stewart Stefano Ermon 66 344 0 18 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 772 36,813 0 25 Aug 2016
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions Jimmy Ba Kevin Swersky Sanja Fidler Ruslan Salakhutdinov VLM 70 438 0 01 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,196 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,547 0 01 Sep 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 88 2,742 0 20 Jun 2014
Distributed Representations of Sentences and Documents Quoc V. Le Tomas Mikolov FaML 254 9,242 0 16 May 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,667 0 01 May 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 677 31,512 0 16 Jan 2013