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Block Selection Method for Using Feature Norm in Out-of-distribution
  Detection

Block Selection Method for Using Feature Norm in Out-of-distribution Detection

5 December 2022
Yeonguk Yu
Sungho Shin
Seongju Lee
C. Jun
Kyoobin Lee
    OODD
ArXivPDFHTML

Papers citing "Block Selection Method for Using Feature Norm in Out-of-distribution Detection"

11 / 11 papers shown
Title
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
72
0
0
19 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
Zhiwei Ling
Yachen Chang
Hailiang Zhao
Xinkui Zhao
Kingsum Chow
Shuiguang Deng
OODD
58
0
0
01 Mar 2025
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
54
1
0
16 Nov 2024
Kernel PCA for Out-of-Distribution Detection
Kernel PCA for Out-of-Distribution Detection
Kun Fang
Qinghua Tao
Kexin Lv
M. He
Xiaolin Huang
Jie-jin Yang
OODD
46
2
0
05 Feb 2024
Classifier-head Informed Feature Masking and Prototype-based Logit
  Smoothing for Out-of-Distribution Detection
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection
Zhuohao Sun
Yiqiao Qiu
Zhijun Tan
Weishi Zheng
Ruixuan Wang
OODD
18
6
0
27 Oct 2023
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised
  Contrastive Learning and Euclidean Distance
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance
J. Haas
OODD
12
0
0
21 Aug 2023
Boosting Out-of-distribution Detection with Typical Features
Boosting Out-of-distribution Detection with Typical Features
Yao Zhu
YueFeng Chen
Chuanlong Xie
Xiaodan Li
Rong Zhang
Hui Xue
Xiang Tian
Bolun Zheng
Yao-wu Chen
OODD
76
50
0
09 Oct 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
Yue Song
N. Sebe
Wei Wang
OODD
58
52
0
18 Sep 2022
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
163
266
0
19 May 2022
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
169
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
189
328
0
01 Oct 2021
1