A positive-unlabeled learning method trains a lightweight per-query clone encoder on augmented views of a single anchor to detect media clones in cultural repositories by thresholding latent l2 distances, achieving F1=90.79 on AtticPOT.
Leveraging positive- unlabeled learning for enhanced black spot accident identification on greek road networks.Computers, 13(2):49
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Detecting Media Clones in Cultural Repositories Using a Positive Unlabeled Learning Approach
A positive-unlabeled learning method trains a lightweight per-query clone encoder on augmented views of a single anchor to detect media clones in cultural repositories by thresholding latent l2 distances, achieving F1=90.79 on AtticPOT.