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RarePlanes is a unique open-source machine learning dataset that incorporates both real and synthetically generated satellite imagery.
Jane’s Aircraft Recognition Guide
D. Rendall · 1996
Earlier work this paper cites.
Yan Zhu, Yuandong Tian, Dimitris Metaxas, and Piotr Dollár · 2006
Earlier work this paper cites.
Semantic object classes in video: A high-definition ground truth database
Gabriel J Brostow, Julien Fauqueur, and Roberto Cipolla · 2009
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.
Describing objects by their attributes
Ali Farhadi, Ian Endres, Derek Hoiem, and David Forsyth · 2009
Earlier work this paper cites.
The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
Earlier work this paper cites.
The Caltech-UCSD Birds-200-2011 Dataset
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie · 2011
Earlier work this paper cites.
The isprs benchmark on urban object classification and 3d building reconstruction
Franz Rottensteiner, Gunho Sohn, Jaewook Jung, Markus Gerke, Caroline Baillard, Sebastien Benitez, and Uwe Breitkopf · 2012
Earlier work this paper cites.
Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
Earlier work this paper cites.
General aviation aircraft design: Applied Methods and Procedures
Snorri Gudmundsson · 2013
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
The importance of physical quantities for the analysis of multitemporal and multiangular optical very high spatial resolution images
F. Pacifici, N. Longbotham, and W. J. Emery · 2014
Earlier work this paper cites.
The sun attribute database: Beyond categories for deeper scene understanding
Genevieve Patterson, Chen Xu, Hang Su, and James Hays · 2014
Earlier work this paper cites.
Deep residual learning for image recognition, 2015
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Earlier work this paper cites.
Learning deep object detectors from 3d models
Xingchao Peng, Baochen Sun, Karim Ali, and Kate Saenko · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks, 2015
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
A large-scale car dataset for fine-grained categorization and verification
Linjie Yang, Ping Luo, Chen Change Loy, and Xiaoou Tang · 2015
Earlier work this paper cites.
A multiple view stereo benchmark for satellite imagery
Marc Bosch, Zachary Kurtz, Shea Hagstrom, and Myron Brown · 2016
Earlier work this paper cites.
The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
Earlier work this paper cites.
Virtual worlds as proxy for multi-object tracking analysis
A Gaidon, Q Wang, Y Cabon, and E Vig · 2016
Earlier work this paper cites.
Understanding real world indoor scenes with synthetic data
Ankur Handa, Viorica Patraucean, Vijay Badrinarayanan, Simon Stent, and Roberto Cipolla · 2016
Earlier work this paper cites.
Feature pyramid networks for object detection, 2016
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2016
Earlier work this paper cites.
Playing for data: Ground truth from computer games
Stephan R Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 2016
Earlier work this paper cites.
The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes
German Ros, Laura Sellart, Joanna Materzynska, David Vazquez, and Antonio M Lopez · 2016
Earlier work this paper cites.
Augmented reality meets deep learning for car instance segmentation in urban scenes
Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars Mescheder, Andreas Geiger, and Carsten Rother · 2017
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Matterport3d: Learning from rgb-d data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
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Domain adaptation for visual applications: A comprehensive survey, 2017
Gabriela Csurka · 2017
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Recent advances in zero-shot recognition, 2017
Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, and Shaogang Gong · 2017
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Mask r-cnn, 2017
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Cycada: Cycle-consistent adversarial domain adaptation, 2017
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, and Trevor Darrell · 2017
Learning from synthetic data: Addressing domain shift for semantic segmentation
Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser Nam Lim, and Rama Chellappa · 2018
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Training deep networks with synthetic data: Bridging the reality gap by domain randomization
Jonathan Tremblay, Aayush Prakash, David Acuna, Mark Brophy, Varun Jampani, Cem Anil, Thang To, Eric Cameracci, Shaad Boochoon, and Stan Birchfield · 2018
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You only look twice: Rapid multi-scale object detection in satellite imagery
Adam Van Etten · 2018
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Deep leaf segmentation using synthetic data
Daniel Ward, Peyman Moghadam, and Nicolas Hudson · 2018
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Scrdet: Towards more robust detection for small, cluttered and rotated objects, 2018
Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Sun Xian, and Kun Fu · 2018
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Planet dump retrieved from https://planet.osm.org
OpenStreetMap contributors · 2017
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Object detection using deep cnns trained on synthetic images, 2017
Param S. Rajpura, Hristo Bojinov, and Ravi S. Hegde · 2017
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Deep convolutional neural networks for image classification: A comprehensive review
Waseem Rawat and Zenghui Wang · 2017
Cited alongside, same era.
Playing for benchmarks
Stephan R. Richter, Zeeshan Hayder, and Vladlen Koltun · 2017
Cited alongside, same era.
Semantic scene completion from a single depth image
Shuran Song, Fisher Yu, Andy Zeng, Angel X Chang, Manolis Savva, and Thomas Funkhouser · 2017
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DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia, Xiang Bai, Zhen Zhu Jian Ding, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang · 2017
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3d morphable face models – past, present and future, 2019
Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhoefer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, and Thomas Vetter · 2019
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Creating xbd: A dataset for assessing building damage from satellite imagery
Ritwik Gupta, Bryce Goodman, Nirav Patel, Ricky Hosfelt, Sandra Sajeev, Eric Heim, Jigar Doshi, Keane Lucas, Howie Choset, and Matthew Gaston · 2019
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SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation – A Synthetic Dataset and Baselines
Y.-T. Hu, H.-S. Chen, K. Hui, J.-B. Huang, and A. G. Schwing · 2019
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A new stereo benchmarking dataset for satellite images, 2019
Sonali Patil, Bharath Comandur, Tanmay Prakash, and Avinash C. Kak · 2019
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The effects of super-resolution on object detection performance in satellite imagery
Jacob Shermeyer and Adam Van Etten · 2019
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Learning to interpret satellite images in global scale using wikipedia, 2019
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David Lobell, and Stefano Ermon · 2019
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Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation
Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, and Patrick Perez · 2019
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Multiscale visual attention networks for object detection in vhr remote sensing images
C. Wang, X. Bai, S. Wang, J. Zhou, and P. Ren · 2019
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isaid: A large-scale dataset for instance segmentation in aerial images
Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, and Xiang Bai · 2019
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Spacenet mvoi: a multi-view overhead imagery dataset
Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Sean McPherson, Jacob Shermeyer, Varun Kumar, and Hanlin Tang · 2019
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Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
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Zero-shot learning—a comprehensive evaluation of the good, the bad and the ugly
Yongqin Xian, Christoph H. Lampert, Bernt Schiele, and Zeynep Akata · 2019
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A large-scale attribute dataset for zero-shot learning
Bo Zhao, Yanwei Fu, Rui Liang, Jiahong Wu, Yonggang Wang, and Yizhou Wang · 2019
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Object detection with deep learning: A review
Zhong-Qiu Zhao, Peng Zheng, Shou-tao Xu, and Xindong Wu · 2019
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The synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation
Fanjie Kong, Bohao Huang, Kyle Bradbury, and Jordan Malof · 2020
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Small-object detection in remote sensing images with end-to-end edge-enhanced gan and object detector network
Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, and Dennis Chao · 2020
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Spacenet 6: Multi-sensor all weather mapping dataset, 2020
Jacob Shermeyer, Daniel Hogan, Jason Brown, Adam Van Etten, Nicholas Weir, Fabio Pacifici, Ronny Haensch, Alexei Bastidas, Scott Soenen, Todd Bacastow, and Ryan Lewis · 2020
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Aircraft — Wikipedia, the free encyclopedia
Steelpillow · 2020
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