arXiv Machine Learning July 3, 2026 By Yanxiong Li, Jiaxin Tan, Qianqian Li, Guoqing Chen, Sen Huang, Tuomas Virtanen

Few-Shot Open-Set Audio Classification Using Attention Information-Fused Prototypes

Read the original on arXiv Machine Learning →

arXiv:2607. 01297v1 Announce Type: cross Abstract: 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 seen classes (cannot reject samples of unseen classes).

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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