Leveraging Negative Labels to Enhance Zero-Shot Out-of-Distribution Detection with Vision-Language Models
Introducing a novel post hoc OOD detection method, NegLabel, that leverages a large set of negative labels to effectively distinguish in-distribution and out-of-distribution samples by examining their affinities towards ID and negative labels.