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I would like to ask if categorizing all the papers/adding an extra column regarding type of supervision(supervised/semi-supervised/self-supervised/weakly-supervised/semi-weakly-supervised) is possible…
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Excellent work! Why isaid classes without background?
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Hi,
May I ask how you prepare the OVS_datasets? The patch size in your provided datasets is very small, which is 256x256, and not all patches cropped from the original image are included in you dat…
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Thank you very much for sharing your amazing work!
I am a complete beginner in computer vision.
I would like to do few-shot segmentation in 5-shot setting using BAM with my image data.
I have 5…
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Hi everyone, after running demo/demo.py to infer in zero-shot successfully, I want to try infer in few-shot mode:
- I downloaded the correct models
- But I stuck at producing the class prototypes(de…
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Where can I see the paper? Thank you very much.
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Paper 1
Paper Name: Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
Conference: BMVC
Code: https://github.com/kate-sann5100/SS_few_shot
Paper 2
Paper Name: [Prototypica…
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I'm not sure if this is a bug or something I'm missing, but with WinCLIP I can't get pixel metrics if the `TaskType `is set to `CLASSIFICATION`. For example, say we have a custom dataset with normal i…
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I couldn’t find a description in the paper regarding the number of annotated samples available in the target domain. Could you please clarify this?
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Hello author, thank you for your outstanding work! Can you please publish the source code for your Extended Article "Self-Supervised Learning for Few-Shot Medical Image Segmentation,"(doi: 10.1109/TMI…