A shared-weights two-branch Swin Transformer that processes ZTF and ATLAS light curves jointly reaches 69.9% macro F1, outperforming single-survey models and simple fusion strategies on 21 classes.
Avocado: Photometric classification of astronomical transients with gaussian process augmentation
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Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer
A shared-weights two-branch Swin Transformer that processes ZTF and ATLAS light curves jointly reaches 69.9% macro F1, outperforming single-survey models and simple fusion strategies on 21 classes.