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default_detections/industrial_bop25_model_based_unseen/README.md
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**Default detections for Track 10 of BOP Challenge 2025**
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The default detections/segmentations are results of CNOS (https://github.com/nv-nguyen/cnos), a strong baseline for CAD-based novel object segmentation prepared by Van Nguyen Nguyen et al. (https://nv-nguyen.github.io/) for Tasks 10 of BOP Challenge 2025.
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Below is a list of files with 2D detections for the three core datasets together with URLs of the corresponding submissions from 2025.
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CNOS(SAM) (https://bop.felk.cvut.cz/method_info/937/):
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CNOS(SAM)/IPD (https://bop.felk.cvut.cz/sub_info/19412/): cnos-sam/cnossam_ipd-test_ffbcdfbe-e461-4bf8-bc26-1f8cc8f061c7.json.1
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CNOS(SAM)/XYZ-IBD (https://bop.felk.cvut.cz/sub_info/19107/): CNOS(SAM)/cnos-bop25_xyzibd-test_417f4045-f4f3-42fc-9597-73ac4e9544d7.json
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CNOS(SAM)/ITODD-MV (https://bop.felk.cvut.cz/sub_info/19386/): cnos-sam/cnossam_xyzibd-test_417f4045-f4f3-42fc-9597-73ac4e9544d7.json
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