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AiEson / CrossMatch

CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation
MIT License
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Tested on treditional segmentation benchmarks #5

Closed mkimhi closed 1 month ago

mkimhi commented 1 month ago

Did you test the method on PASCAL/COCO/CITYSCAPES?

thanks

AiEson commented 1 month ago

The research purpose of this work is to provide a new solution for semi-supervised medical image segmentation, and the discussion of natural images is not within the scope of our consideration. You can also use the above data set for testing and reproduction. Thank you for your attention to this work