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Understanding the Feature Norm for Out-of-Distribution Detection

Understanding the Feature Norm for Out-of-Distribution Detection

9 October 2023
Jaewoo Park
Jacky Chen Long Chai
Jaeho Yoon
Andrew Beng Jin Teoh
    OODD
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Papers citing "Understanding the Feature Norm for Out-of-Distribution Detection"

13 / 13 papers shown
Title
Test-Time Discovery via Hashing Memory
Fan Lyu
Tianle Liu
Z. Zhang
Fuyuan Hu
Liang Wang
TTA
68
0
0
12 Mar 2025
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
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
52
1
0
16 Nov 2024
Representation Norm Amplification for Out-of-Distribution Detection in
  Long-Tail Learning
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin
Hye Won Chung
OODD
22
0
0
20 Aug 2024
The Over-Certainty Phenomenon in Modern UDA Algorithms
The Over-Certainty Phenomenon in Modern UDA Algorithms
Fin Amin
Jung-Eun Kim
27
0
0
24 Apr 2024
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for
  Out-of-distribution Detection
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
Yue Song
N. Sebe
Wei Wang
OODD
16
1
0
23 Nov 2023
Detecting Out-of-Distribution Through the Lens of Neural Collapse
Detecting Out-of-Distribution Through the Lens of Neural Collapse
Litian Liu
Yao Qin
OODD
25
5
0
02 Nov 2023
Exploring Simple, High Quality Out-of-Distribution Detection with L2
  Normalization
Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization
J. Haas
William Yolland
B. Rabus
OODD
8
0
0
07 Jun 2023
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
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
On the Importance of Gradients for Detecting Distributional Shifts in
  the Wild
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang
Andrew Geng
Yixuan Li
173
326
0
01 Oct 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection
On the Impact of Spurious Correlation for Out-of-distribution Detection
Yifei Ming
Hang Yin
Yixuan Li
OODD
144
74
0
12 Sep 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
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