| Submission name | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
|
| User | thodan |
|---|---|
| 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 |