#prototype-adaptation News & Analysis

Few-shot Class-variable Incremental Audio Classification via Prototype Adaptation and Pseudo Class-variable Training

Researchers propose a new method for few-shot class-variable incremental audio classification that handles both increasing and decreasing numbers of classes, addressing a practical gap in existing models. The approach uses prototype adaptation and pseudo class-variable training to dynamically adjust classifier structure as classes change, demonstrating improved performance on multiple datasets.