Author

Andrey Ignatov

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Preprint Aug 2026

DistillPath: An Efficient 22M Distilled Pathology Encoder Approaching Large Foundation Model Performance

DistillPath-KS16 is presented, which starts from the existing 22M kaiko ViT-S/16 encoder and improves it by distilling from released pathology encoders used as frozen teachers, needing neither their DINO nor iBOT pretraining heads nor a billion-tile corpus.

Ramon Kaspar, Andrey Ignatov, Valentina Boeva · 2 citations