| Submission name | |||||||||||
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| Submission time (UTC) | May 8, 2026, 9:26 a.m. | ||||||||||
| User | SEU_WYL | ||||||||||
| Task | Model-based 6D localization of unseen objects | ||||||||||
| Dataset | TUD-L | ||||||||||
| Description | |||||||||||
| Evaluation scores |
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| User | SEU_WYL |
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| Publication | |
| Implementation | |
| Training image modalities | RGB-D |
| Test image modalities | RGB-D |
| Description | For F3DT2D, we applied the same threshold-based filtering strategy as WAPR.v2.1 (MUSE), with a filtering threshold of 0.35, while keeping all other settings unchanged. Since the original F3DT2D implementation does not provide masks, we generated them using SAM. For a small number of bounding boxes where valid masks could not be obtained, we used the filled bounding-box regions as the corresponding masks. |
| Computer specifications |