Real-Time Object Pose Estimation with Pose Interpreter Networks

Real-Time Object Pose Estimation with Pose Interpreter Networks

In this work, we introduce pose interpreter networks for 6-DoF object pose estimation. In contrast to other CNN-based approaches to pose estimation that require expensively annotated object pose data, our pose interpreter network is trained entirely on synthetic pose data. We use object masks as an...

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Bibliographic Details
Main Authors: Wu, Jimmy, Zhou, Bolei, Russell, Rebecca, Kee, Vincent, Wagner, Syler, Hebert, Mitchell, Torralba, Antonio, Johnson, David M.S.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: IEEE 2020
Online Access:https://hdl.handle.net/1721.1/123478

Internet

https://hdl.handle.net/1721.1/123478

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