| 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 |
| Date | Submission name | Dataset | ||
|---|---|---|---|---|
| 2023-12-11 07:16 | PBR | LM-O | ||
| 2023-12-11 07:16 | PBR | T-LESS | ||
| 2023-12-11 07:17 | PBR | YCB-V |