31 citations · 186 across the 67 of their papers we have counts for
4 papers · 1 filter
Multiresolution Knowledge Distillation for Anomaly Detection
Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh +2
Unsupervised representation learning has proved to be a critical component of anomaly detection/localization in images. The challenges to learn such a representation are two-fold.…
Puzzle-AE: Novelty Detection in Images through Solving Puzzles
Mohammadreza Salehi, Ainaz Eftekhar, Niousha Sadjadi +2
Autoencoder, as an essential part of many anomaly detection methods, is lacking flexibility on normal data in complex datasets. U-Net is proved to be effective for this purpose but…
Towards Deep Learning Models Resistant to Large Perturbations
Amirreza Shaeiri, Rozhin Nobahari, Mohammad Hossein Rohban
Adversarial robustness has proven to be a required property of machine learning algorithms. A key and often overlooked aspect of this problem is to try to make the adversarial nois…
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection
Mohammadreza Salehi, Atrin Arya, Barbod Pajoum +4
Autoencoders (AE) have recently been widely employed to approach the novelty detection problem. Trained only on the normal data, the AE is expected to reconstruct the normal data e…