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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

27 October 2023
Zhuohao Sun
Yiqiao Qiu
Zhijun Tan
Weishi Zheng
Ruixuan Wang
    OODD
ArXivPDFHTML

Papers citing "Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection"

14 / 14 papers shown
Title
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
Yong Hyun Ahn
Gyeong-Moon Park
Seong Tae Kim
OODD
153
32
0
24 Mar 2023
Out-of-distribution Detection via Frequency-regularized Generative
  Models
Out-of-distribution Detection via Frequency-regularized Generative Models
Mu Cai
Yixuan Li
OODD
36
32
0
18 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking
Out-of-Distribution Detection with Semantic Mismatch under Masking
Yijun Yang
Ruiyuan Gao
Qiang Xu
OODD
62
28
0
31 Jul 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
220
283
0
19 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
193
519
0
13 Apr 2022
Effective Out-of-Distribution Detection in Classifier Based on
  PEDCC-Loss
Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss
Qiuyu Zhu
Guohui Zheng
Yingying Yan
OODD
34
8
0
10 Apr 2022
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
271
1,354
0
08 Oct 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to
  Distribution Shifts?
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos
P. Tigas
R. McAllister
Nicholas Rhinehart
Sergey Levine
Y. Gal
46
187
0
26 Jun 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning
  from Out-of-distribution Data
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
93
572
0
26 Feb 2020
Why ReLU networks yield high-confidence predictions far away from the
  training data and how to mitigate the problem
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
Matthias Hein
Maksym Andriushchenko
Julian Bitterwolf
OODD
167
558
0
13 Dec 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
178
19,271
0
13 Jan 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
764
36,781
0
25 Aug 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
250
9,308
0
14 Dec 2015
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
116
2,669
0
14 Nov 2013
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