A prototype-based audio-visual continual learning method, HAIL-FFIA, reaches 75.92% average accuracy on a new six-species fish-feeding dataset while storing only 0.1% of raw data.
Feeding intensity assessment of aquaculture fish using mel spectrogram and deep learning algorithms,
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Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture
A prototype-based audio-visual continual learning method, HAIL-FFIA, reaches 75.92% average accuracy on a new six-species fish-feeding dataset while storing only 0.1% of raw data.