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Scaling for Training Time and Post-hoc Out-of-distribution Detection
  Enhancement

Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement

30 September 2023
Kai Xu
Rongyu Chen
Gianni Franchi
Angela Yao
    OODD
ArXivPDFHTML

Papers citing "Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement"

12 / 12 papers shown
Title
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
67
0
0
01 Mar 2025
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
72
1
0
16 Nov 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
226
0
0
19 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
72
3
0
18 Sep 2024
Logit Scaling for Out-of-Distribution Detection
Logit Scaling for Out-of-Distribution Detection
Andrija Djurisic
Rosanne Liu
Mladen Nikolic
OODD
53
1
0
02 Sep 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
78
1
0
21 Jun 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection
Energy-based Hopfield Boosting for Out-of-Distribution Detection
Claus Hofmann
Simon Schmid
Bernhard Lehner
Daniel Klotz
Sepp Hochreiter
OODD
50
9
0
14 May 2024
Kernel PCA for Out-of-Distribution Detection
Kernel PCA for Out-of-Distribution Detection
Kun Fang
Qinghua Tao
Kexin Lv
Mingzhen He
Xiaolin Huang
Jie Yang
OODD
54
2
0
05 Feb 2024
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
172
152
0
20 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
268
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
411
0
12 Oct 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
351
36,437
0
25 Aug 2016
1