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Artificial Intelligence Computing Leadership from NVIDIA
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Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
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Graduate Fellowship
Internships
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Research Scientists
Meet the Team
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Publications
SymGAN: Orientation Estimation without Annotation for Symmetric Objects
SymGAN: Orientation Estimation without Annotation for Symmetric Objects
Authors
Phil Ammirato (University of North Carolina at Chapel Hill)
Jonathan Tremblay
Ming-Yu Liu
Alexander Berg (University of North Carolina at Chapel Hill)
Dieter Fox (NVIDIA)
Publication Date
Monday, March 2, 2020
Published in
WACV
Research Area
Artificial Intelligence and Machine Learning
Computer Vision
Generative AI
