AI RESEARCH
PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
arXiv CS.AI
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ArXi:2506.14842v2 Announce Type: replace-cross Building image classification models remains cumbersome in data-scarce domains, where collecting large labeled datasets is impractical. In-context learning (ICL) is a promising paradigm for few-shot image classification (FSIC), but prior work has underexplored the relative importance of encoder pre