Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning - researchr publication related

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Juil Sock, Guillermo Garcia-Hernando, Tae-Kyun Kim. Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021. pages 10564-10571, IEEE, 2020. [doi]

The following publications are possibly variants of this publication:

Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd ScenariosJuil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim. bmvc 2018: 90 [doi]

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