ClaFR computes OOD scores by projecting features onto the top singular subspace of the classifier's weights, eliminating the need for training data access.
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Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
ClaFR computes OOD scores by projecting features onto the top singular subspace of the classifier's weights, eliminating the need for training data access.