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It is highly advisable to consider citing and comparing the approaches utilized in DACS and DSP when discussing your own method.
It is imperative to delve into the **distinctions** between your pr…
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Great work!
Recently, i adopt this unimatch idea in the medical image segmentation on the semi-supervised abdominal organs segmentation task. I find that it not works for small organs and tumor. Can …
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In your paper (in Tab.2) I see that you compare to [Jiang et al. (GPC)](https://openaccess.thecvf.com/content/ICCV2021/papers/Jiang_Guided_Point_Contrastive_Learning_for_Semi-Supervised_Point_Cloud_Se…
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I have a question about the prediction mode for pseudo-labels.
All my questions are related to "unimatch.py".
[ Question 1 ]
Your approach is:
1) The "fixmatch" study, which widely announced the…
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Hi! I have just found a paper named "Fuzzy Positive Learning for Semi-supervised Semantic Segmentation", which is also accepted by CVPR 2023. Maybe you can add it to the paper list~
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Hello !
Does it project support video object segmentation in semi-supervised setting ? how to set prompt points to focus one objects ?
Thanks for your suggestion
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Hi, thank you for the codebase. I have questions for you;
- Could you clarify whether the results for nuScenes are obtained with Cylinder3D or SPVCNN?
- If it's Cylinder3D, could you release th…
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### Search before asking
- [x] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and f…
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The various challenges involved in making sense of an image found on social media is summarized by this image
![Screenshot 2023-12-04 at 15-13-05 Tech Interventions against Online Harms](https://gith…
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Hello, I tried to use your softmatch for semi-supervised image segmentation, treating each pixel as a dichotomy, but found that the mask calculated for each pixel is a fixed value except 1 (0.99999988…