AI RESEARCH
Detecting Media Clones in Cultural Repositories Using a Positive Unlabeled Learning Approach
arXiv CS.CV
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ArXi:2604.04071v1 Announce Type: new We formulate curator-in-the-loop duplicate discovery in the AtticPOT repository as a Positive-Unlabeled (PU) learning problem. Given a single anchor per artefact, we train a lightweight per-query Clone Encoder on augmented views of the anchor and score the unlabeled repository with an interpretable threshold on the latent l_2 norm. The system proposes candidates for curator verification, uncovering cross-record duplicates that were not verified a priori.