| Submission name | submission1 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Submission time (UTC) | March 9, 2023, 5:52 a.m. | ||||||||||
| User | CW_FLOYD | ||||||||||
| Task | 6D localization of seen objects | ||||||||||
| Dataset | LM-O | ||||||||||
| Training model type | Default | ||||||||||
| Training image type | Synthetic (only PBR images provided for BOP Challenge 2020 were used) | ||||||||||
| Description | We trained FFB6D model with PBR and real dataset. | ||||||||||
| Evaluation scores |
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| User | CW_FLOYD |
|---|---|
| Publication | ffb6d: a full flow bidirectional fusion network for 6d pose estimation, he et al., CVPR, 2021 |
| Implementation | |
| Training image modalities | RGB-D |
| Test image modalities | RGB-D |
| Description | |
| Computer specifications | NVIDIA RTX A4000 |