Comments (3)
I see. It is just a discussion that we can use CNOS as a CAD-free novel object segmentation method.
It can be easily done by placing all the reference images into a "templates" folder, and the rest remains the same.
I close the issue since there is no problem with the code. Feel free to re-open it!
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which table, results do you mean?
from cnos.
Thank you for the quick response.
I was referring to the scenario in the second paragraph of section 4.4, Discussion.
It seems there isn't a table or results associated with it, and it appears more like a future plan.
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Related Issues (20)
- Any standard for scaling CAD models? HOT 2
- Problems with detecting multi-color objects (?) HOT 1
- How to use this project? What are parameters of train ? HOT 2
- precomputed results on YCBV HOT 2
- Pixel to point correspondances with renderer HOT 1
- Installation of ultralytics HOT 1
- Segmentation evaluation using bop_toolkit HOT 2
- Why is the paper's reported result different from that in the BOP leaderboard? HOT 3
- size mismatch for pos_embed HOT 3
- GPU misconfiguration HOT 1
- Using FastSAM on custom dataset inference HOT 6
- Poor performance in a object with two colors.
- release pre-computed Linemod and YCBV results HOT 1
- Why are the results in the paper different from those in the baseline of the BOP? HOT 1
- pre-computed segmentation is not complete on the YCBV dataset HOT 2
- Running custom inference on multiple GPUs HOT 2
- Rendering templates HOT 1
- DINOv2 for image feature extraction HOT 2
- Limited performance on Custom Datasets HOT 8
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