| User | zyMeteroid |
|---|---|
| Publication | Not yet |
| Implementation | Pytorch |
| Training image modalities | RGB-D |
| Test image modalities | RGB-D |
| Description | Submitted to: BOP Challenge 2023 Training data: real + provided PBR Used 3D models: Reconstructed for T-LESS, default for other datasets Notes: Authors: Ruida Zhang, Ziqin Huang, Gu Wang, Xingyu Liu, Chenyangguang Zhang and Xiangyang Ji. (Tsinghua University) GDRNPP + coordinate-guided depth refinement, using GDet2023 as detection. A network is trained for each object. |
| Computer specifications | GPU RTX 3090; CPU AMD EPYC 7H12 64-Core Processor. |
| Date | Submission name | Dataset | ||
|---|---|---|---|---|
| 2023-09-26 08:11 | - | ITODD | ||
| 2023-09-26 08:18 | - | HB | ||
| 2023-09-26 08:20 | - | IC-BIN | ||
| 2023-09-26 08:22 | - | YCB-V | ||
| 2023-09-26 08:24 | - | T-LESS | ||
| 2023-09-26 08:26 | - | TUD-L | ||
| 2023-09-27 07:24 | - | LM-O |