A dynamic covariance adjustment that contracts the Mahalanobis metric along each test feature's residual-space direction improves OOD detection over static priors on several backbones.
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Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
A dynamic covariance adjustment that contracts the Mahalanobis metric along each test feature's residual-space direction improves OOD detection over static priors on several backbones.