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[HTML][HTML] A survey on few-shot class-incremental learning
Large deep learning models are impressive, but they struggle when real-time data is not
available. Few-shot class-incremental learning (FSCIL) poses a significant challenge for …
available. Few-shot class-incremental learning (FSCIL) poses a significant challenge for …
[HTML][HTML] Learning to detect an animal sound from five examples
Automatic detection and classification of animal sounds has many applications in
biodiversity monitoring and animal behavior. In the past twenty years, the volume of digitised …
biodiversity monitoring and animal behavior. In the past twenty years, the volume of digitised …
A comprehensive review of few-shot action recognition
[PDF][PDF] Active Few-Shot Learning for Sound Event Detection.
Few-shot learning has shown promising results in sound event detection where the model
can learn to recognize novel classes assuming a few labeled examples (typically five) are …
can learn to recognize novel classes assuming a few labeled examples (typically five) are …
Few-shot class-incremental audio classification using dynamically expanded classifier with self-attention modified prototypes
Most existing methods for audio classification assume that the vocabulary of audio classes
to be classified is fixed. When novel (unseen) audio classes appear, audio classification …
to be classified is fixed. When novel (unseen) audio classes appear, audio classification …