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Found 2 papers, 2 papers with code
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense Prediction
Knowledge distillation is the process of transferring knowledge from a more powerful large model (teacher) to a simpler counterpart (student).
Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
CDO introduces a margin optimization module and an overlap optimization module to optimize the two key factors determining the localization performance, i. e., the margin and the overlap between the discrepancy distributions (DDs) of normal and abnormal samples.
Ranked #1 on
Anomaly Detection
on MVTEC 3D-AD
(using extra training data)
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