RankFeat: Rank-1FeatureRemovalfor Out-of-distributionDetection-SupplementaryMaterial-AExperimentalSetup

The source codes are implemented withPytorch 1.10.1,and We select four sub-sets as the OOD benchmark, namelyProtozoa, Microorganisms, Plants, andMollusks. Table 2 compares the performance against all thepost hocbaselines. One of the earliest work considered directly using the Maximum Softmax Probability (MSP) as the scoring function for OOD detection. In [19], the authors observed that the activations of the penultimate layer are quite different for ID and OOD data.