3 papers
cs.SD2026
Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement
Tianyan Deng, Yanxiong Li, Rui Gao +1
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.…
eess.AS2026
Few-Shot Class-Incremental Audio Classification Using Pseudo-Incrementally Trained Embedding Learner and Continually Updated Stochastic Classifier
Yanxiong Li, Wenchang Cao, Jiaxin Tan +2
Few-shot Class-incremental Audio Classification (FCAC) aims to progressively recognize incremental classes with few tagged samples and meanwhile memorize base classes. To achieve s…
eess.AS2026
Few-Shot Open-Set Audio Classification Using Attention Information-Fused Prototypes
Yanxiong Li, Jiaxin Tan, Qianqian Li +3
Most existing audio classification methods suppose that each query (testing) sample belongs to a class of support (training) samples, and misrecognize samples of unseen classes as…