Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement
Few-shot Open-set audio classification requires classifying query samples from known classes with a few labeled support samples while rejecting query samples from unknown classes. Transductive inference jointly observes the full unlabeled query set to improve prototype estimation, yet standard transductive updates do n...