A CNN-based self-supervised learning framework for small-sample near-infrared spectroscopy classification

A CNN-based self-supervised learning framework is proposed to enhance spectral analysis with small sample sizes by leveraging pseudo-labeled data for pre-training, achieving superior results compared to traditional methods.