Submission: DPODv2 (synthetic train data, RGB)/HB/RGB YOLO, RGB DPOD, PnP
Download submission
| Submission name |
RGB YOLO, RGB DPOD, PnP
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| Submission time (UTC) |
July 21, 2022, 3:12 p.m.
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| User |
ivan_shugurov
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| 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 |
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| Evaluation scores |
| AR: | 0.714 |
| AR_MSPD: | 0.823 |
| AR_MSSD: | 0.692 |
| AR_VSD: | 0.627 |
| average_time_per_image: | 0.163 |
|
| User |
ivan_shugurov
|
| Publication |
"Dpod: 6d pose object detector and refiner", ICCV, 2019 |
| Implementation |
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| Training image modalities |
RGB |
| Test image modalities |
RGB |
| Description |
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| Computer specifications |
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