The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods

4 March 2022

Papers citing "The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods"

7 / 7 papers shown

Title
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models Nadarasar Bahavan Sachith Seneviratne Saman K. Halgamuge BDL 45 0 0 11 Mar 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks Philip Enevoldsen Christian Gundersen Nico Lang Serge Belongie Christian Igel 64 1 0 03 Jan 2025
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 24 12 0 09 Oct 2023
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication Luke Puppo Weng-Keen Wong B. Hamdaoui Abdurrahman Elmaghbub 18 4 0 16 May 2023
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space Eric Yeh Pedro Sequeira Jesse Hostetler Melinda Gervasio OOD CML BDL OffRL 25 2 0 15 Jul 2022
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 38 151 0 18 Nov 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 408 0 12 Oct 2021