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View Code? Open in Web Editor NEWMICCAI 2023: Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
MICCAI 2023: Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation
Thanks for your great work. From the fundus datasets you provided, there are 4 domains, but in your paper, you only mentioned
Drishti-GS, RIM-ONE, and REFUGE. Can I clarify which domain number corresponds to which dataset and also which dataset do the extra domain belongs to? Thank you.
@zheangh Which domain you have used as the source dataset Domain 3 or Domain 4? How many images are used for training and validation is source dataset or target dataset. How many images are used in validation if it is Domain 3 or Domain 4?
How to save the final images with save_per_image?
Dear researcher, this initial pseudo label seems to be invalid, can you re-share it?
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