A prototype-based classifier with attention-fused embeddings from support and query samples enables few-shot open-set audio classification and outperforms prior methods on three public datasets.
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Few-Shot Open-Set Audio Classification Using Attention Information-Fused Prototypes
A prototype-based classifier with attention-fused embeddings from support and query samples enables few-shot open-set audio classification and outperforms prior methods on three public datasets.