A masked autoencoder pretrained on ImageNet and fine-tuned on solar radio spectra reaches 99.5% classification accuracy, marginally outperforming supervised transfer learning baselines.
A new solar broadband radio spectrometer (SBRS) in China
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Self-Supervised Learning for Solar Radio Spectrum Classification
A masked autoencoder pretrained on ImageNet and fine-tuned on solar radio spectra reaches 99.5% classification accuracy, marginally outperforming supervised transfer learning baselines.