| Submission name | |||||||||||||||||||||||||||
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| Submission time (UTC) | Oct. 1, 2025, 11:44 p.m. | ||||||||||||||||||||||||||
| User | jduke | ||||||||||||||||||||||||||
| Task | Model-free 2D detection of unseen objects | ||||||||||||||||||||||||||
| Dataset | HANDAL | ||||||||||||||||||||||||||
| Description | |||||||||||||||||||||||||||
| Evaluation scores |
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| User | jduke |
|---|---|
| Publication | None |
| Implementation | https://github.com/Vision-Kek/cnos25 |
| Training image modalities | None |
| Test image modalities | RGB |
| Description | Submitted to: BOP Challenge 2025 Training data: No training data used. Onboarding data: Static onboarding. Method: The CNOS pipeline. with 2025 models. YOLOE is used for proposals, dinov3 for descriptors. |
| Computer specifications | RTX4090 |