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Out-of-distribution Detection via Frequency-regularized Generative
  Models

Out-of-distribution Detection via Frequency-regularized Generative Models

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
18 August 2022
Mu Cai
Shouqing Yang
    OODD
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "Out-of-distribution Detection via Frequency-regularized Generative Models"

21 / 21 papers shown
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot
  Semantic Segmentation
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic SegmentationIEEE transactions on multimedia (IEEE TMM), 2024
Jiaqi Ma
Guo-Sen Xie
Fang Zhao
Zechao Li
331
3
0
23 Dec 2024
Ño' Matters: Out-of-Distribution Detection in Multimodality Long
  Dialogue
Ño' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
Rena Gao
Xuetong Wu
Siwen Luo
Caren Han
Feng Liu
OODD
335
1
0
31 Oct 2024
Process Reward Model with Q-Value Rankings
Process Reward Model with Q-Value RankingsInternational Conference on Learning Representations (ICLR), 2024
W. Li
Yixuan Li
LRM
595
58
0
15 Oct 2024
Resultant: Incremental Effectiveness on Likelihood for Unsupervised
  Out-of-Distribution Detection
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection
Yewen Li
Chaojie Wang
Xiaobo Xia
Xu He
Ruyi An
Dong Li
Tongliang Liu
Bo An
Xinrun Wang
OODD
228
0
0
05 Sep 2024
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
Christiaan Viviers
Amaan Valiuddin
Francisco Caetano
Lemar Abdi
Lena Filatova
Peter H. N. de With
Fons van der Sommen
OODOODD
256
5
0
04 Sep 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Jirayu Burapacheep
Yixuan Li
OODD
209
5
0
09 Aug 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
Yijin Zhou
Yutang Ge
Xiaowen Dong
Yuguang Wang
511
0
0
13 Jun 2024
On the Learnability of Out-of-distribution Detection
On the Learnability of Out-of-distribution Detection
Zhen Fang
Shouqing Yang
Yifan Zhang
Bo Han
Jie Lu
219
9
0
07 Apr 2024
Understanding Likelihood of Normalizing Flow and Image Complexity
  through the Lens of Out-of-Distribution Detection
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection
Genki Osada
Tsubasa Takahashi
Takashi Nishide
OODD
173
3
0
16 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image
  Pre-Training (CLIP)
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)Neural Information Processing Systems (NeurIPS), 2024
Weijie Tu
Weijian Deng
Tom Gedeon
UQCVVLM
210
51
0
12 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Haodong Lu
Dong Gong
Shuo Wang
Jason Xue
Lina Yao
Kristen Moore
OODD
280
44
0
05 Feb 2024
ARGS: Alignment as Reward-Guided Search
ARGS: Alignment as Reward-Guided SearchInternational Conference on Learning Representations (ICLR), 2024
Maxim Khanov
Jirayu Burapacheep
Yixuan Li
428
93
0
23 Jan 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
234
8
0
27 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty
Be Bayesian by Attachments to Catch More Uncertainty
Shiyu Shen
Bin Pan
Tianyang Shi
Tao Li
Zhenwei Shi
UQCV
318
0
0
19 Oct 2023
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs
  with Variational Autoencoder
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder
Zezhen Zeng
Bin Liu
OODD
337
1
0
05 Sep 2023
Towards Universal Fake Image Detectors that Generalize Across Generative
  Models
Towards Universal Fake Image Detectors that Generalize Across Generative ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Utkarsh Ojha
Yuheng Li
Yong Jae Lee
349
417
0
20 Feb 2023
Re-purposing Perceptual Hashing based Client Side Scanning for Physical
  Surveillance
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance
Ashish Hooda
Andrey Labunets
Tadayoshi Kohno
Earlence Fernandes
138
2
0
08 Dec 2022
Delving into Out-of-Distribution Detection with Vision-Language
  Representations
Delving into Out-of-Distribution Detection with Vision-Language RepresentationsNeural Information Processing Systems (NeurIPS), 2022
Yifei Ming
Ziyan Cai
Jiuxiang Gu
Yiyou Sun
W. Li
Shouqing Yang
VLMOODD
244
225
0
24 Nov 2022
Towards Generalized Few-Shot Open-Set Object Detection
Towards Generalized Few-Shot Open-Set Object DetectionIEEE Transactions on Image Processing (IEEE TIP), 2022
Binyi Su
Qichuan Geng
Jingzhi Li
Zhongjun Zhou
308
12
0
28 Oct 2022
Learning by Erasing: Conditional Entropy based Transferable
  Out-Of-Distribution Detection
Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2022
Meng Xing
Zhiyong Feng
Yong Su
Changjae Oh
OODD
182
4
0
23 Apr 2022
Noise-robust Graph Learning by Estimating and Leveraging Pairwise
  Interactions
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Xuefeng Du
Tian Bian
Yu Rong
Bo Han
Tongliang Liu
Qifeng Bai
Wenbing Huang
Shouqing Yang
Junzhou Huang
NoLa
229
20
0
14 Jun 2021
1