Submission name | |||||||||||
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Submission time (UTC) | March 29, 2020, 6:30 p.m. | ||||||||||
User | thodan | ||||||||||
Task | Pose estimation (BOP 2019-2022) | ||||||||||
Dataset | LM-O | ||||||||||
Training model type | Default | ||||||||||
Training image type | Synthetic (custom) | ||||||||||
Description | |||||||||||
Evaluation scores |
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User | thodan |
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Publication | Hodan, Barath, Matas, EPOS: Estimating 6D Pose of Objects with Symmetries, CVPR 2020 |
Implementation | https://github.com/thodan/epos |
Training image modalities | RGB |
Test image modalities | RGB |
Description | The results were obtained with the setting described in the CVPR 2020 paper. |
Computer specifications | 6-core Intel i7-8700K CPU, 64GB RAM, Nvidia P100 GPU |