Submission name | |||||||||||||||||||||||||||
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Submission time (UTC) | July 23, 2022, 10:50 a.m. | ||||||||||||||||||||||||||
User | Yang-hai | ||||||||||||||||||||||||||
Task | 2D detection of seen objects | ||||||||||||||||||||||||||
Dataset | T-LESS | ||||||||||||||||||||||||||
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 |
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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 |