| Submission name | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Submission time (UTC) | Nov. 30, 2023, 6:45 a.m. | ||||||||||
| User | sp9103 | ||||||||||
| Task | 6D localization of unseen objects | ||||||||||
| Dataset | TUD-L | ||||||||||
| Description | |||||||||||
| Evaluation scores |
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| User | sp9103 |
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| Publication | https://arxiv.org/abs/2403.11510 |
| Implementation | - |
| Training image modalities | RGB-D |
| Test image modalities | RGB-D |
| Description | We use GigaPose [A] to extract 5 hypothesis and run GenFlow[B]. [A] Nguyen et al.: GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence, arXiv 2023. [B] https://bop.felk.cvut.cz/method_info/447/ |
| Computer specifications | V100 |