| Submission name | RGB YOLO, RGB DPOD, Kabsch | ||||||||||
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| Submission time (UTC) | July 21, 2022, 3:14 p.m. | ||||||||||
| User | ivan_shugurov | ||||||||||
| Task | Model-based 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 |
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| User | ivan_shugurov |
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| 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 |