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Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data

23 October 2018

Papers citing "Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data"

26 / 26 papers shown

Title
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes J. L. Gómez Manuel Silva Antonio Seoane Agnes Borrás Mario Noriega Germán Ros Jose A. Iglesias-Guitian Antonio M. López 3DPC 209 13 0 19 Dec 2023
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images M. Sundermeyer Zoltán-Csaba Márton M. Durner Manuel Brucker Rudolph Triebel 3DH 3DPC 63 551 0 04 Feb 2019
Applying Domain Randomization to Synthetic Data for Object Category Detection João Borrego Atabak Dehban R. Figueiredo Plinio Moreno Alexandre Bernardino J. Santos-Victor 60 42 0 16 Jul 2018
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning Supasorn Suwajanakorn Noah Snavely Jonathan Tompson Mohammad Norouzi 3DPC 3DV 70 246 0 05 Jul 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Feng Yu Haofeng Chen Xin Wang Wenqi Xian Yingying Chen Fangchen Liu Vashisht Madhavan Trevor Darrell VLM 344 2,150 0 12 May 2018
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization Jonathan Tremblay Aayush Prakash David Acuna M. Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield OOD 78 817 0 18 Apr 2018
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? N. Mayer Eddy Ilg Philipp Fischer C. Hazirbas Daniel Cremers Alexey Dosovitskiy Thomas Brox OOD 74 213 0 19 Jan 2018
On Pre-Trained Image Features and Synthetic Images for Deep Learning Stefan Hinterstoißer Vincent Lepetit Paul Wohlhart K. Konolige VLM ObjD 47 230 0 29 Oct 2017
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications Apostolia Tsirikoglou J. Kronander Magnus Wrenninge Jonas Unger 3DV 57 78 0 17 Oct 2017
Playing for Benchmarks Stephan R. Richter Zeeshan Hayder V. Koltun 78 470 0 21 Sep 2017
Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications Matthias Muller Vincent Casser Jean Lahoud Neil G. Smith Guohao Li VGen 61 181 0 19 Aug 2017
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection Debidatta Dwibedi Ishan Misra M. Hebert 98 622 0 04 Aug 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 259 2,972 0 20 Mar 2017
Synthesizing Training Data for Object Detection in Indoor Scenes G. Georgakis Arsalan Mousavian Alexander C. Berg Jana Kosecka 3DPC ObjD 65 205 0 25 Feb 2017
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth J. McCormac Ankur Handa Stefan Leutenegger Andrew J. Davison 3DV 3DPC 59 125 0 15 Dec 2016
UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision Yi Zhang Weichao Qiu Qi Chen Xiaolin Hu Alan Yuille 43 42 0 14 Dec 2016
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks? Matthew Johnson-Roberson Charlie Barto Rounak Mehta S. N. Sridhar Karl Rosaen Ram Vasudevan 113 617 0 06 Oct 2016
UnrealCV: Connecting Computer Vision to Unreal Engine Weichao Qiu Alan Yuille VGen 67 270 0 05 Sep 2016
Playing for Data: Ground Truth from Computer Games Stephan R. Richter Vibhav Vineet Stefan Roth V. Koltun VLM 122 2,012 0 07 Aug 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis Adrien Gaidon Qiao Wang Yohann Cabon E. Vig 77 1,073 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation N. Mayer Eddy Ilg Philip Häusser Philipp Fischer Daniel Cremers Alexey Dosovitskiy Thomas Brox 3DPC 64 2,648 0 07 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 520 62,360 0 04 Jun 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 311 4,179 0 26 Apr 2015
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection Yukun Zhu R. Urtasun Ruslan Salakhutdinov Sanja Fidler ObjD 56 157 0 15 Feb 2015
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 419 43,777 0 01 May 2014