| Submission name | RGB YOLO, RGB DPOD, Kabsch | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Submission time (UTC) | July 21, 2022, 3:14 p.m. | ||||||||||
| User | ivan_shugurov | ||||||||||
| Task | 6D localization of seen objects | ||||||||||
| Dataset | HB | ||||||||||
| Training model type | Default | ||||||||||
| Training image type | Synthetic (only PBR images provided for BOP Challenge 2020 were used) | ||||||||||
| Description | |||||||||||
| Evaluation scores |
|
| User | ivan_shugurov |
|---|---|
| Publication | |
| Implementation | |
| Training image modalities | RGB |
| Test image modalities | RGB-D |
| Description | Inference completely in RGB, then the correspondences are projected in 3D |
| Computer specifications |