SIREN: Shaping Representations for Detecting Out-of-distribution Objects (Appendix) A Experimental Details

Below we perform sensitivity analysis for each important hyperparameter. We set the temperature in the contrastive loss to 0.5. Then we regard the virtual outliers as the negative samples during the object classification.