Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection

ArXi:2506.17633v2 Announce Type: replace-cross Out-of-distribution (OOD) detection attempts to distinguish outlier samples to prevent models trained on the in-distribution (ID) dataset from producing unavailable outputs. Most OOD detection methods require many IID samples for