Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Supplementary Materials A Implementation Details

Neural Information Processing Systems 

We also conduct empirical experiments to verify the effectiveness of those perturbations. As shown in Fig. A1, all of the perturbed text-features In addition, now that every perturbation can directly produce the description ( i.e., text-feature) of And the results are shown in Tab. OOD performance when the ID data is shifted. Table A2: Additionally improved ID accuracy on shifted datasets. Fig. A2, compared to the shifted ImageNet-A [ Sketch only preserve objects' shape and main texture, while the color information is totally vanished.

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