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cs.CV2022
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes
Nicolas Larue, Ngoc-Son Vu, Vitomir Struc +2
Modern deepfake detectors have achieved encouraging results, when training and test images are drawn from the same data collection. However, when these detectors are applied to ima…
cs.CV2022
Anomaly Detection via Multi-Scale Contrasted Memory
Loic Jezequel, Ngoc-Son Vu, Jean Beaudet +1
Deep anomaly detection (AD) aims to provide robust and efficient classifiers for one-class and unbalanced settings. However current AD models still struggle on edge-case normal sam…