Search Results for author: Anthony Wong

Found 3 papers, 1 papers with code

Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection

1 code implementation20 Nov 2022 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.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

Anomaly Detection with Adversarially Learned Perturbations of Latent Space

no code implementations3 Jul 2022 Vahid Reza Khazaie, Anthony Wong, John Taylor Jewell, Yalda Mohsenzadeh

The Adversarial Distorter is a convolutional encoder that learns to produce effective perturbations and the autoencoder is a deep convolutional neural network that aims to reconstruct the images from the perturbed latent feature space.

Unsupervised Anomaly Detection

Augment to Detect Anomalies with Continuous Labelling

no code implementations3 Jul 2022 Vahid Reza Khazaie, Anthony Wong, Yalda Mohsenzadeh

Therefore, training a regressor on these augmented samples will result in more separable distributions of labels for normal and real anomalous data points.

Anomaly Detection Image Augmentation

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