On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection (Appendix)

Neural Information Processing Systems 

This section presents more comprehensive experimental results. We employ the CLIP ViT-B/32 for Section A.1 and A.2, CLIP ViT-B/16 for Section A.3. A.1 Comparison with post-hoc methods We also compare the performance of our textual outlier method with post-hoc approaches, which are another prominent approach in OoD detection. We conducted comparisons with six widely used and recently proposed methods known for their detection performance (MSP [4], ODIN [8], Mahalanobis [7], Energy [10], ReAct [14], KNN [15]). All advanced baseline methods follow the original paper's settings.