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Multi-Class Data Description for Out-of-distribution Detection

Multi-Class Data Description for Out-of-distribution Detection

2 April 2021
Dongha Lee
Sehun Yu
Hwanjo Yu
    OODD
ArXiv (abs)PDFHTML

Papers citing "Multi-Class Data Description for Out-of-distribution Detection"

18 / 18 papers shown
Title
TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
S. Dell’Anna
Andrea Montibeller
Giulia Boato
112
1
0
29 Apr 2025
Advance Fake Video Detection via Vision Transformers
Advance Fake Video Detection via Vision Transformers
Joy Battocchio
S. Dell’Anna
Andrea Montibeller
Giulia Boato
ViTVGen
81
0
0
29 Apr 2025
Continual Contrastive Learning on Tabular Data with Out of Distribution
Continual Contrastive Learning on Tabular Data with Out of Distribution
Achmad Ginanjar
Xue Li
Priyanka Singh
Wen Hua
LMTD
123
0
0
19 Mar 2025
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
Sunghyun Ahn
Youngwan Jo
Kijung Lee
Sein Kwon
Inpyo Hong
Sanghyun Park
116
1
0
06 Mar 2025
Representation Learning on Out of Distribution in Tabular Data
Representation Learning on Out of Distribution in Tabular Data
Achmad Ginanjar
Xue Li
Priyanka Singh
Wen Hua
LMTD
560
0
0
14 Feb 2025
KModels: Unlocking AI for Business Applications
KModels: Unlocking AI for Business Applications
Roy Abitbol
Eyal Cohen
Muhammad Kanaan
Bhavna Agrawal
Yingjie Li
Anuradha Bhamidipaty
Erez Bilgory
47
0
0
08 Sep 2024
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based
  Gaussian Descriptor for Imbalanced Tabular Data
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Data
Priyanka Chudasama
Anil Surisetty
Aakarsh Malhotra
Alok Singh
56
0
0
02 Sep 2024
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for
  Zero-Day Attack Detection in IoV
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV
Abdelaziz Amara Korba
Abdelwahab Boualouache
Y. Ghamri-Doudane
59
19
0
03 Jul 2024
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under
  Distribution Shifts
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
Weijian Deng
Jianfeng Zhang
Bo An
80
2
0
29 May 2024
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection:
  Application to Fetal Ultrasound Videos
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos
Divyanshu Mishra
He Zhao
Pramit Saha
A. Papageorghiou
J. A. Noble
MedIm
80
11
0
01 Nov 2023
Accurate Open-set Recognition for Memory Workload
Accurate Open-set Recognition for Memory Workload
Jun-Gi Jang
Sooyeon Shim
Vladimir Egay
Jeeyong Lee
J. Park
Suhyun Chae
U. Kang
29
3
0
17 Dec 2022
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
Sanghun Jung
Jungsoo Lee
Nanhee Kim
Amirreza Shaban
Byron Boots
Jaegul Choo
OODTTA
97
18
0
01 Jun 2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection
Haoliang Wang
Chengli Zhao
Xujiang Zhao
Feng Chen
OODD
60
7
0
01 Mar 2022
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel
  Topic Clusters
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters
Dongha Lee
Jiaming Shen
SeongKu Kang
Susik Yoon
Jiawei Han
Hwanjo Yu
83
31
0
18 Jan 2022
Deep Representation Learning with an Information-theoretic Loss
Deep Representation Learning with an Information-theoretic Loss
S. Ando
DRL
44
2
0
25 Nov 2021
Out-of-Category Document Identification Using Target-Category Names as
  Weak Supervision
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision
Dongha Lee
Dongmin Hyun
Jiawei Han
Hwanjo Yu
OOD
68
1
0
24 Nov 2021
EARLIN: Early Out-of-Distribution Detection for Resource-efficient
  Collaborative Inference
EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference
Sumaiya Tabassum Nimi
Md. Adnan Arefeen
M. Y. S. Uddin
Yugyung Lee
OODDFedML
49
1
0
25 Jun 2021
Model Rectification via Unknown Unknowns Extraction from Deployment
  Samples
Model Rectification via Unknown Unknowns Extraction from Deployment Samples
B. Abrahao
Zechuan Wang
Haider Ahmed
Yuchen Zhu
33
0
0
08 Feb 2021
1