Fake It Till You Make It: Towards Accurate Near-Distribution Novelty
Detection

v1v2 (latest)

Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection

28 May 2022

Hossein Mirzaei

Mohammadreza Salehi

Cees G. M. Snoek

Mohammad Sabokrou

ArXiv (abs)PDF HTML Github (24★)

Papers citing "Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection"

16 / 16 papers shown

Title
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 266 509 0 01 Feb 2022
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 43 29 0 08 Dec 2021
Mean-Shifted Contrastive Loss for Anomaly Detection Tal Reiss Yedid Hoshen 70 118 0 07 Jun 2021
Learning Placeholders for Open-Set Recognition Da-Wei Zhou Han-Jia Ye De-Chuan Zhan VLM 54 197 0 28 Mar 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 338 6,480 0 26 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 69 251 0 12 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 117 800 0 24 Sep 2020
G2D: Generate to Detect Anomaly M. PourReza Bahram Mohammadi Mostafa Khaki Samir Bouindour H. Snoussi Mohammad Sabokrou 53 63 0 20 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 159 1,886 0 11 Jun 2020
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection Mohammadreza Salehi Atrin Arya Barbod Pajoum Mohammad Otoofi Amirreza Shaeiri M. Rohban Hamid R. Rabiee AAML 60 63 0 12 Mar 2020
Deep Nearest Neighbor Anomaly Detection Liron Bergman Niv Cohen Yedid Hoshen UQCV 82 160 0 24 Feb 2020
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 77 664 0 06 Nov 2019
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 58 545 0 06 Jun 2019
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 89 607 0 28 May 2018
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 158 3,454 0 07 Oct 2016
Fine-Grained Visual Classification of Aircraft Subhransu Maji Esa Rahtu Arno Solin Matthew Blaschko Andrea Vedaldi 123 2,261 0 21 Jun 2013