Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology

Author:

Vray Guillaume1ORCID,Tomar Devavrat1ORCID,Bozorgtabar Behzad1ORCID,Thiran Jean-Philippe1ORCID

Affiliation:

1. Signal Processing Laboratory (LT55), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference51 articles.

1. Unsupervised domain adaptation by backpropagation;Ganin

2. Collaborative unsupervised domain adaptation for medical image diagnosis;Zhang;IEEE Trans. Image Process.,2020

3. CyCADA: Cycle-consistent adversarial domain adaptation;Hoffman

4. Do we really need to access the source data? Source hypothesis transfer for unsupervised domain adaptation;Liang

5. BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation

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