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

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

4 March 2022
Thomas G. Dietterich
Alexander Guyer
ArXivPDFHTML

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

3 / 3 papers shown
Title
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models
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
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
Philip Enevoldsen
Christian Gundersen
Nico Lang
Serge J. Belongie
Christian Igel
49
1
0
03 Jan 2025
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
167
404
0
12 Oct 2021
1