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Making Euclid VIS Imaging AI-ready: A Scalable Pipeline for Morphology, Anomaly Detection, and Similarity Search

  • Authors: Jinhui Xie, Yunfei Xu, Zhen Zhang, Lang Chen, Chenzhou Cui

Jinhui Xie et al 2026 The Astrophysical Journal Supplement Series 287 .

  • Provider: AAS Journals

Caption: Figure 1.

Euclid VIS workflow for constructing an AI-ready representation. Released square 128 × 128 VIS cutouts are transformed into standardized 224 × 224 model inputs and processed by a pretrained DINOv2 ViT-S/14 feature extractor to produce 384-dimensional CLS-token embeddings. Here, AI-ready operationally denotes standardized, model-compatible image inputs together with a reusable embedding that supports regression, few-label classification, anomaly detection, and similarity retrieval within a common feature space.

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