AI RESEARCH
SADGE: Structure and Appearance Domain Gap Estimation of Synthetic and Real Data
arXiv CS.CV
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ArXi:2605.22467v1 Announce Type: new We propose SADGE, a quantitative similarity metric that predicts the performance of synthetic image datasets for common computer vision tasks without downstream model