1 citations · 2 across the 14 of their papers we have counts for
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Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection
Vahid Reza Khazaie, Anthony Wong, Mohammad Sabokrou
This paper presents a novel evaluation framework for Out-of-Distribution (OOD) detection that aims to assess the performance of machine learning models in more realistic settings.…
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…
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…