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Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer

arXiv 2507.11711 ↗First posted 15 Jul 2025astro-ph.IM cs.CVcited by 0

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Abstract (arXiv)

We explore the use of Swin Transformer V2, a pre-trained vision Transformer, for photometric classification in a multi-survey setting by leveraging light curves from the Zwicky Transient Facility (ZTF) and the Asteroid Terrestrial-impact Last Alert System (ATLAS). We evaluate different strategies for integrating data from these surveys and find that a multi-survey architecture which processes them jointly achieves the best performance. These results highlight the importance of modeling survey-specific characteristics and cross-survey interactions, and provide guidance for building scalable classifiers for future time-domain astronomy.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 17 of its 51 references that are in the map. First posted on arXiv 15 Jul 2025.

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References · 17

  1. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  2. 2020End-to-End Object Detection with Transformerscited by 7,414
  3. 2021Swin Transformer V2: Scaling Up Capacity and Resolutioncited by 1,228
  4. 2021Transformer Trackingcited by 412
  5. 2020MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformerscited by 355
  6. 2019RAPID: Early Classification of Explosive Transients using Deep Learningcited by 17
  7. 2024AstroM3: A self-supervised multimodal model for astronomycited by 11
  8. 2022ASTROMER: A transformer-based embedding for the representation of light curvescited by 9
  9. 2024Maven: A Multimodal Foundation Model for Supernova Sciencecited by 7
  10. 2018Deep multi-survey classification of variable starscited by 6
  11. 2020Classifying Image Sequences of Astronomical Transients with Deep Neural Networkscited by 6
  12. 2022Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networkscited by 6
5 more
  1. 2022Deep Attention-Based Supernovae Classification of Multi-Band Light-Curvescited by 5
  2. 2017Deep-Learnt Classification of Light Curvescited by 4
  3. 2022Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformercited by 3
  4. 2025Transfer Learning for Transient Classification: From Simulations to Real Data and ZTF to LSSTcited by 3
  5. 2024Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Modelcited by 1

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