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cs.CV2022
Augment to Detect Anomalies with Continuous Labelling
Vahid Reza Khazaie, Anthony Wong, Yalda Mohsenzadeh
Anomaly detection is to recognize samples that differ in some respect from the training observations. These samples which do not conform to the distribution of normal data are call…
cs.CV2022
Anomaly Detection with Adversarially Learned Perturbations of Latent Space
Vahid Reza Khazaie, Anthony Wong, John Taylor Jewell +1
Anomaly detection is to identify samples that do not conform to the distribution of the normal data. Due to the unavailability of anomalous data, training a supervised deep neural…