Data Invariants to Understand Unsupervised Out-of-Distribution Detection

26 November 2021

Papers citing "Data Invariants to Understand Unsupervised Out-of-Distribution Detection"

8 / 8 papers shown

Title
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 37 1 0 04 Jul 2024
Continual Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 33 0 0 04 Jun 2024
No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection Tal Reiss Niv Cohen Yedid Hoshen UQCV 16 5 0 12 Jun 2023
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery Alain Jungo Lars Doorenbos Tommaso Da Col Maarten J. Beelen M. Zinkernagel Pablo Márquez-Neila Raphael Sznitman OODD 23 3 0 11 Apr 2023
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 179 875 0 21 Oct 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 30 71 0 16 Feb 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 91 82 0 11 Jan 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 45 112 0 08 Jan 2021