| Submission name | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Submission time (UTC) | Nov. 30, 2023, 6:47 a.m. | ||||||||||
| User | sp9103 | ||||||||||
| Task | Model-based 6D localization of unseen objects | ||||||||||
| Dataset | ITODD | ||||||||||
| Description | |||||||||||
| Evaluation scores |
|
| User | sp9103 |
|---|---|
| Publication | Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects, CVPR 2024 |
| 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, CVPR 2024. [B] Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects, CVPR 2024 |
| Computer specifications | V100 |