| Submission name | PBR | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Submission time (UTC) | Dec. 11, 2023, 7:16 a.m. | ||||||||||
| User | LinYongliang | ||||||||||
| Task | 6D localization of seen objects | ||||||||||
| Dataset | LM-O | ||||||||||
| Description | |||||||||||
| Evaluation scores |
|
| User | LinYongliang |
|---|---|
| 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 |