ActSub decomposes activations via SVD of the classifier head into decisive and insignificant subspaces, using cosine similarity on the insignificant part for far-OOD and shaped energy on the decisive part for near-OOD, achieving SOTA on standard benchmarks.
Ehinger, Aude Oliva, and Antonio Torralba
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Activation Subspaces for Out-of-Distribution Detection
ActSub decomposes activations via SVD of the classifier head into decisive and insignificant subspaces, using cosine similarity on the insignificant part for far-OOD and shaped energy on the decisive part for near-OOD, achieving SOTA on standard benchmarks.