A masked autoencoder pretrained on ImageNet and fine-tuned on solar radio spectra reaches 99.5% classification accuracy, marginally outperforming supervised transfer learning baselines.
BERT: Pre‐Training of Deep Bidirectional Transformers for Language Understanding; NAACL HLT: Minneapolis, MN, USA, 2019
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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.