A frozen residual-CNN embedding trained with pseudo-incremental augmentation plus a continually updated stochastic classifier improves few-shot class-incremental audio accuracy with lower complexity than most baselines.
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Few-Shot Class-Incremental Audio Classification Using Pseudo-Incrementally Trained Embedding Learner and Continually Updated Stochastic Classifier
A frozen residual-CNN embedding trained with pseudo-incremental augmentation plus a continually updated stochastic classifier improves few-shot class-incremental audio accuracy with lower complexity than most baselines.