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Training data is the key ingredient for deep learning approaches, but difficult to obtain for the specialized domains often encountered in robotics.
“A reflectance model for computer graphics”
Robert Cook and Kenneth Torrance · 1982
Earlier work this paper cites.
“Surface simplification using quadric error metrics”
Michael Garland and Paul Heckbert · 1997
Earlier work this paper cites.
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Randima Fernando · 2004
Earlier work this paper cites.
“Shapenet: An information-rich 3D model repository”
Angel Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song and Hao Su · 2015
Earlier work this paper cites.
“Benchmarking in manipulation research: The YCB object and model set and benchmarking protocols”
Berk Calli, Aaron Walsman, Arjun Singh, Siddhartha Srinivasa, Pieter Abbeel and Aaron Dollar · 2015
Earlier work this paper cites.
“Self-supervised visual descriptor learning for dense correspondence”
Tanner Schmidt, Richard Newcombe and Dieter Fox · 2016
Earlier work this paper cites.
“ObjectNet3D: A large scale database for 3d object recognition”
Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas Guibas and Silvio Savarese · 2016
Earlier work this paper cites.
“Domain randomization for transferring deep neural networks from simulation to the real world”
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba and Pieter Abbeel · 2017
Earlier work this paper cites.
“Physically-based rendering for indoor scene understanding using convolutional neural networks”
Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon-Young Lee, Hailin Jin and Thomas Funkhouser · 2017
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“Cartman: The low-cost cartesian manipulator that won the amazon robotics challenge”
Douglas Morrison, Adam Tow, M McTaggart, R Smith, N Kelly-Boxall, S Wade-McCue, J Erskine, R Grinover, A Gurman and T Hunn · 2018
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“Fast object learning and dual-arm coordination for cluttered stowing, picking, and packing”
Max Schwarz, Christian Lenz, Germ“’an“’n Garc“’a, Seongyong Koo, Arul Periyasamy, Michael Schreiber and Sven Behnke · 2018
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“Learning dexterous in-hand manipulation”
Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Jozefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell and Alex Ray · 2018
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“PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes”
“DeepIM: Deep iterative matching for 6D pose estimation”
Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang and Dieter Fox · 2018
Later among the works it cites.
“Modeling Camera Effects to Improve Visual Learning from Synthetic Data”
Alexandra Carlson, Katherine Skinner, Ram Vasudevan and Matthew Johnson-Roberson · 2018
Later among the works it cites.
“Light-weight refinenet for real-time semantic segmentation”
Vladimir Nekrasov, Chunhua Shen and Ian Reid · 2018
Later among the works it cites.
“Meta-Sim: Learning to Generate Synthetic Datasets”
Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba and Sanja Fidler · 2019
Later among the works it cites.
“Refining 6D Object Pose Predictions using Abstract Render-and-Compare”
Arul Periyasamy, Max Schwarz and Sven Behnke · 2019
Later among the works it cites.
“Autonomous Bimanual Functional Regrasping of Novel Object Class Instances”
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Yu Xiang, Tanner Schmidt, Venkatraman Narayanan and Dieter Fox · 2018
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Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox and Stan Birchfield · 2018
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Hiroharu Kato, Yoshitaka Ushiku and Tatsuya Harada · 2018
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Dmytro Pavlichenko, Diego Rodriguez, Christian Lenz, Max Schwarz and Sven Behnke · 2019
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“Falling Things: A synthetic dataset for 3D object detection and pose estimation”
Jonathan Tremblay, Thang To and Stan Birchfield · 2041
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