| Submission name | |||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Submission time (UTC) | July 23, 2022, 9:59 a.m. | ||||||||||||||||||||||||||
| User | Yang-hai | ||||||||||||||||||||||||||
| Task | 2D detection of seen objects | ||||||||||||||||||||||||||
| Dataset | LM-O | ||||||||||||||||||||||||||
| Training model type | None | ||||||||||||||||||||||||||
| Training image type | Synthetic (only PBR images provided for BOP Challenge 2020 were used) | ||||||||||||||||||||||||||
| Description | |||||||||||||||||||||||||||
| Evaluation scores |
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| User | Yang-hai |
|---|---|
| Publication | CVPR-2019 |
| Implementation | https://github.com/LZGMatrix/BOP19_CDPN_2019ICCV/tree/bop2020 |
| Training image modalities | RGB |
| Test image modalities | RGB |
| Description | As CDPN provides the trained detectors(FCOS+VoVNet 57) used in the 2020 6D Pose challenge, we test them to provide more comprehensive results for the detection track. |
| Computer specifications | NVIDIA 3090 |