On the Capitan mensural-notation dataset, a VICReg self-supervised encoder plus a five-layer MLP reaches 87.66% accuracy with five labelled samples per class, outperforming the earlier kNN baseline.
Intelligent optimization methods for high-dimensional data classification for support vector machines
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Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach
On the Capitan mensural-notation dataset, a VICReg self-supervised encoder plus a five-layer MLP reaches 87.66% accuracy with five labelled samples per class, outperforming the earlier kNN baseline.