SolarCHIP contrastively pretrains CNN and Vision Transformer backbones on SDO AIA-HMI data with multi-granularity objectives, achieving SOTA on cross-modal translation and flare classification especially in low-resource settings.
Solar flare prediction using sdo/hmi vector magnetic field data with a machine-learning algorithm
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Contrastive Heliophysical Image Pretraining for Solar Dynamics Observatory Records
SolarCHIP contrastively pretrains CNN and Vision Transformer backbones on SDO AIA-HMI data with multi-granularity objectives, achieving SOTA on cross-modal translation and flare classification especially in low-resource settings.