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Lazaro J. Gonzalez-Soler, André Dörsch, Christian Rathgeb +1
In this work, we introduce DifFoundMAD, a parameter-efficient D-MAD framework that exploits the generalisation capabilities of vision foundation models (FM) to capture discrepancie…