Hi-End-MAE pre-trains ViT encoders for medical image segmentation by having the decoder query encoder features from multiple layers, improving one-shot segmentation DSC by about 6 points over prior medical SSL methods.
, author Kornblith, S
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Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation
Hi-End-MAE pre-trains ViT encoders for medical image segmentation by having the decoder query encoder features from multiple layers, improving one-shot segmentation DSC by about 6 points over prior medical SSL methods.