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CRAD-HOPE: brain-inspired nested learning framework for few-shot anomaly detection

open access: yesJournal of King Saud University: Computer and Information Sciences
Unsupervised anomaly detection has achieved progress with continuous memory representations, which store normal patterns in learnable grids via differentiable interpolation.
Wenxin Cao, Juanhua Cao, Weijun Wu
doaj   +1 more source

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