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SR-OOD: Out-of-Distribution Detection via Sample Repairing
v1v2 (latest)

SR-OOD: Out-of-Distribution Detection via Sample Repairing

26 May 2023
Ruiyong Sun
Andi Zhang
Haiming Zhang
Jinke Ren
Yao Zhu
Ruimao Zhang
Shuguang Cui
Zhen Li
    OODD
ArXiv (abs)PDFHTML

Papers citing "SR-OOD: Out-of-Distribution Detection via Sample Repairing"

28 / 28 papers shown
Title
Out-of-Distribution Detection with Reconstruction Error and
  Typicality-based Penalty
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty
Genki Osada
Tsubasa Takahashi
Budrul Ahsan
Takashi Nishide
OODD
84
14
0
24 Dec 2022
Falsehoods that ML researchers believe about OOD detection
Falsehoods that ML researchers believe about OOD detection
Andi Zhang
Damon J. Wischik
OODD
60
6
0
23 Oct 2022
Out-of-Distribution Detection with Class Ratio Estimation
Out-of-Distribution Detection with Class Ratio Estimation
Mingtian Zhang
Andi Zhang
Tim Z. Xiao
Yitong Sun
Jingyu Sun
OODD
54
5
0
08 Jun 2022
On the Out-of-distribution Generalization of Probabilistic Image
  Modelling
On the Out-of-distribution Generalization of Probabilistic Image Modelling
Mingtian Zhang
Andi Zhang
Jingyu Sun
OODD
122
45
0
04 Sep 2021
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Elad Richardson
Yuval Alaluf
Or Patashnik
Yotam Nitzan
Yaniv Azar
Stav Shapiro
Daniel Cohen-Or
152
1,109
0
03 Aug 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
90
916
0
08 Jul 2020
Understanding Anomaly Detection with Deep Invertible Networks through
  Hierarchies of Distributions and Features
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
R. Schirrmeister
Yuxuan Zhou
T. Ball
Dan Zhang
UQCV
98
88
0
18 Jun 2020
Density of States Estimation for Out-of-Distribution Detection
Density of States Estimation for Out-of-Distribution Detection
Warren Morningstar
Cusuh Ham
Andrew Gallagher
Balaji Lakshminarayanan
Alexander A. Alemi
Joshua V. Dillon
OODD
87
85
0
16 Jun 2020
Editing in Style: Uncovering the Local Semantics of GANs
Editing in Style: Uncovering the Local Semantics of GANs
Edo Collins
R. Bala
B. Price
Sabine Süsstrunk
83
278
0
29 Apr 2020
Likelihood Regret: An Out-of-Distribution Detection Score For
  Variational Auto-encoder
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
Zhisheng Xiao
Qing Yan
Y. Amit
OODD
180
195
0
06 Mar 2020
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
334
5,832
0
03 Dec 2019
Scaling Out-of-Distribution Detection for Real-World Settings
Scaling Out-of-Distribution Detection for Real-World Settings
Dan Hendrycks
Steven Basart
Mantas Mazeika
Andy Zou
Joe Kwon
Mohammadreza Mostajabi
Jacob Steinhardt
Basel Alomair
OODD
204
486
0
25 Nov 2019
Out-of-distribution Detection in Classifiers via Generation
Out-of-distribution Detection in Classifiers via Generation
Sachin Vernekar
Ashish Gaurav
Vahdat Abdelzad
Taylor Denouden
Rick Salay
Krzysztof Czarnecki
OODD
98
83
0
09 Oct 2019
Interpreting the Latent Space of GANs for Semantic Face Editing
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen
Jinjin Gu
Xiaoou Tang
Bolei Zhou
CVBMGAN
123
1,123
0
25 Jul 2019
Likelihood Ratios for Out-of-Distribution Detection
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
214
728
0
07 Jun 2019
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
Rameen Abdal
Yipeng Qin
Peter Wonka
GAN
118
1,112
0
05 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
628
10,595
0
12 Dec 2018
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
185
1,487
0
11 Dec 2018
Do Deep Generative Models Know What They Don't Know?
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
89
759
0
22 Oct 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
199
2,064
0
10 Jul 2018
Predictive Uncertainty Estimation via Prior Networks
Predictive Uncertainty Estimation via Prior Networks
A. Malinin
Mark Gales
UDBDLEDLUQCVPER
203
923
0
28 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
387
11,938
0
11 Jan 2018
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,877
0
14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCVOODD
171
2,082
0
08 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
181
3,482
0
07 Oct 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
69
5,300
0
25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
185
2,986
0
30 Mar 2016
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRLSSL
173
2,792
0
19 May 2015
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