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2203.02486
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The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods
Pattern Recognition (Pattern Recogn.), 2022
4 March 2022
Thomas G. Dietterich
Alexander Guyer
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Papers citing
"The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods"
26 / 26 papers shown
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
Ryan Rabinowitz
Steve Cruz
Walter J. Scheirer
Terrance Boult
BDL
177
0
0
01 Aug 2025
Boosting Open Set Recognition Performance through Modulated Representation Learning
Amit Kumar Kundu
Vaishnavi Patil
Joseph Jaja
461
0
0
23 May 2025
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
480
2
0
11 Mar 2025
Unmasking the Unknown: Facial Deepfake Detection in the Open-Set Paradigm
Nadarasar Bahavan
Sanjay Saha
Ken Chen
Sachith Seneviratne
Sanka Rasnayaka
Saman K. Halgamuge
381
0
0
11 Mar 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
Philip Enevoldsen
Christian Gundersen
Nico Lang
Serge Belongie
Christian Igel
450
2
0
03 Jan 2025
Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models
Peng Cui
Guande He
Dan Zhang
Zhijie Deng
Yinpeng Dong
Jun Zhu
414
4
0
26 Nov 2024
Dimensionality-induced information loss of outliers in deep neural networks
Kazuki Uematsu
Kosuke Haruki
Taiji Suzuki
Mitsuhiro Kimura
Takahiro Takimoto
Hideyuki Nakagawa
259
0
0
29 Oct 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
Qinyu Zhao
Ming Xu
Kartik Gupta
Akshay Asthana
Liang Zheng
Stephen Gould
OODD
139
13
0
01 Feb 2024
All Beings Are Equal in Open Set Recognition
Chaohua Li
Enhao Zhang
Chuanxing Geng
Songcan Chen
317
6
0
31 Jan 2024
Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning
Chen Liu
Can Han
Shilun Cai
C. Cai
Suncheng Xiang
Hualiang Ni
Xiaobo Li
299
5
0
05 Dec 2023
Understanding the Feature Norm for Out-of-Distribution Detection
IEEE International Conference on Computer Vision (ICCV), 2023
Jaewoo Park
Jacky Chen Long Chai
Jaeho Yoon
Andrew Beng Jin Teoh
OODD
386
21
0
09 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably
International Conference on Learning Representations (ICLR), 2023
Katie Kang
Amrith Rajagopal Setlur
Claire Tomlin
Sergey Levine
249
0
0
02 Oct 2023
Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection
S. Sivaprasad
Mario Fritz
AAML
466
0
0
01 Oct 2023
A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
Artificial Intelligence (AIJ), 2023
Shiwali Mohan
W. Piotrowski
Roni Stern
Sachin Grover
Sookyung Kim
Jacob Le
Johan de Kleer
AI4CE
195
10
0
09 Jun 2023
Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep Learning
Frontiers in Plant Science (Front. Plant Sci.), 2023
Mingle Xu
H. Kim
Jucheng Yang
A. Fuentes
Yao Meng
Sook Yoon
Taehyun Kim
D. Park
273
39
0
19 May 2023
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication
International Symposium on Computers and Communications (ISCC), 2023
Luke Puppo
Weng-Keen Wong
B. Hamdaoui
Abdurrahman Elmaghbub
133
5
0
16 May 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection
Computer Vision and Pattern Recognition (CVPR), 2023
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
244
49
0
30 Mar 2023
Data-Centric Governance
Sean McGregor
Jesse Hostetler
148
2
0
14 Feb 2023
Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation
Pattern Recognition (Pattern Recogn.), 2022
Jaewoo Park
Hojin Park
Eunju Jeong
Andrew Beng Jin Teoh
321
12
0
23 Sep 2022
Oracle Analysis of Representations for Deep Open Set Detection
Risheek Garrepalli
AAML
327
5
0
22 Sep 2022
Measuring Human Perception to Improve Open Set Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jingwei Huang
D. Prijatelj
Justin Dulay
Walter J. Scheirer
BDL
435
11
0
08 Sep 2022
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
205
2
0
15 Jul 2022
Towards Better Selective Classification
International Conference on Learning Representations (ICLR), 2022
Leo Feng
Mohamed Osama Ahmed
Hossein Hajimirsadeghi
A. Abdi
285
29
0
17 Jun 2022
Hidden Heterogeneity: When to Choose Similarity-Based Calibration
K. Wagstaff
Thomas G. Dietterich
287
1
0
03 Feb 2022
DICE: Leveraging Sparsification for Out-of-Distribution Detection
Yiyou Sun
Shouqing Yang
OODD
444
215
0
18 Nov 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis Ulmer
Christian Hardmeier
J. Frellsen
BDL
UQCV
UD
EDL
PER
379
84
0
06 Oct 2021
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