Submission name | PBR | ||||||||||
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Submission time (UTC) | Dec. 11, 2023, 7:17 a.m. | ||||||||||
User | LinYongliang | ||||||||||
Task | 6D localization of seen objects | ||||||||||
Dataset | YCB-V | ||||||||||
Description | |||||||||||
Evaluation scores |
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User | LinYongliang |
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Publication | https://arxiv.org/abs/2311.12588 |
Implementation | Pytorch, https://github.com/lyltc1/HiPose |
Training image modalities | RGB-D |
Test image modalities | RGB-D |
Description | Setting: One network per object was trained 2D Bounding Box: Default detections of 2023 Modifications to the original HiPose paper: None List of contributors: Yongliang Lin, Yongzhi Su, Praveen Nathan, Sandeep Inuganti, Yan Di, Martin Sundermeyer, Fabian Manhardt, Didier Stricker, Jason Rambach, Yu Zhang |
Computer specifications | 13th Gen Intel(R) Core(TM) i7-13700KF, Nvidia RTX 3090 |