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Energy-based Out-of-distribution Detection
v1v2v3v4 (latest)

Energy-based Out-of-distribution Detection

8 October 2020
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Shouqing Yang
    OODD
ArXiv (abs)PDFHTML

Papers citing "Energy-based Out-of-distribution Detection"

50 / 958 papers shown
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Class Incremental Learning via Likelihood Ratio Based Task PredictionInternational Conference on Learning Representations (ICLR), 2023
Haowei Lin
Yijia Shao
W. Qian
Ningxin Pan
Yiduo Guo
Bing-Quan Liu
CLL
529
18
0
26 Sep 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection
Nearest Neighbor Guidance for Out-of-Distribution DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Jaewoo Park
Yoon Gyo Jung
Andrew Beng Jin Teoh
OODD
272
59
0
26 Sep 2023
Online Active Learning For Sound Event Detection
Online Active Learning For Sound Event Detection
Mark Lindsey
Ankit Shah
Francis Kubala
R. M. Stern
107
0
0
25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
Dream the Impossible: Outlier Imagination with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Xuefeng Du
Yiyou Sun
Xiaojin Zhu
Shouqing Yang
314
86
0
23 Sep 2023
Meta OOD Learning for Continuously Adaptive OOD Detection
Meta OOD Learning for Continuously Adaptive OOD DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Xinheng Wu
Jie Lu
Zhen Fang
Guangquan Zhang
OODD
277
14
0
21 Sep 2023
You can have your ensemble and run it too -- Deep Ensembles Spread Over
  Time
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time
Isak Meding
Alexander Bodin
Adam Tonderski
Joakim Johnander
Christoffer Petersson
Lennart Svensson
OODUQCV
112
1
0
20 Sep 2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition
Latent Space Energy-based Model for Fine-grained Open Set Recognition
Wentao Bao
Qi Yu
Yu Kong
BDL
371
3
0
19 Sep 2023
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain
  Generalization Perspective
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective
Haoliang Wang
Chen Zhao
Yunhui Guo
Kai Jiang
Feng Chen
268
4
0
18 Sep 2023
Conditioning Latent-Space Clusters for Real-World Anomaly Classification
Conditioning Latent-Space Clusters for Real-World Anomaly ClassificationIEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023
Daniel Bogdoll
Svetlana Pavlitska
Simon Klaus
J. Marius Zöllner
DRL
209
1
0
18 Sep 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution
  Detection in Segmentation
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in SegmentationNeural Information Processing Systems (NeurIPS), 2023
Zhitong Gao
Shipeng Yan
Xuming He
OODOODD
276
15
0
12 Sep 2023
On the detection of Out-Of-Distribution samples in Multiple Instance
  Learning
On the detection of Out-Of-Distribution samples in Multiple Instance Learning
Loïc Le Bescond
Maria Vakalopoulou
Stergios Christodoulidis
Fabrice André
Hugues Talbot
OODD
224
0
0
11 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery
  Likelihood
Learning Energy-Based Models by Cooperative Diffusion Recovery LikelihoodInternational Conference on Learning Representations (ICLR), 2023
Y. Zhu
Jianwen Xie
Yingnian Wu
Ruiqi Gao
DiffM
684
16
0
10 Sep 2023
HAct: Out-of-Distribution Detection with Neural Net Activation
  Histograms
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms
Sudeepta Mondal
G. Sundaramoorthi
OODD
160
0
0
09 Sep 2023
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation
Mask2Anomaly: Mask Transformer for Universal Open-set SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Shyam Nandan Rai
Fabio Cermelli
Barbara Caputo
Carlo Masone
ISegViT
306
16
0
08 Sep 2023
Combining pre-trained Vision Transformers and CIDER for Out Of Domain
  Detection
Combining pre-trained Vision Transformers and CIDER for Out Of Domain Detection
Grégor Jouet
Clément Duhart
Francis Rousseaux
Julio Laborde
Cyril de Runz
ViT
161
0
0
06 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection
Continual Evidential Deep Learning for Out-of-Distribution Detection
Eduardo Aguilar
Bogdan Raducanu
Petia Radeva
Joost van de Weijer
OODDEDL
208
12
0
06 Sep 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with
  Uncertainty Quantification
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty QuantificationJournal of Reliable Intelligent Environments (JRIE), 2023
Jacopo Talpini
Fabio Sartori
Marco Savi
294
11
0
05 Sep 2023
Safe and Robust Watermark Injection with a Single OoD Image
Safe and Robust Watermark Injection with a Single OoD ImageInternational Conference on Learning Representations (ICLR), 2023
Shuyang Yu
Junyuan Hong
Haobo Zhang
Haotao Wang
Zinan Lin
Jiayu Zhou
WIGM
292
3
0
04 Sep 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint
  Inliers and Outliers Utilization
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers UtilizationIEEE International Conference on Computer Vision (ICCV), 2023
Zekun Li
Lei Qi
Yinghuan Shi
Yang Gao
201
42
0
25 Aug 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say NoIEEE International Conference on Computer Vision (ICCV), 2023
Hualiang Wang
Yi Li
Huifeng Yao
Xuelong Li
VLMOODD
343
151
0
23 Aug 2023
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
Expecting The Unexpected: Towards Broad Out-Of-Distribution DetectionNeural Information Processing Systems (NeurIPS), 2023
Charles Guille-Escuret
Pierre-Andre Noel
Ioannis Mitliagkas
David Vazquez
João Monteiro
OODOODD
169
2
0
22 Aug 2023
CAME: Contrastive Automated Model Evaluation
CAME: Contrastive Automated Model EvaluationIEEE International Conference on Computer Vision (ICCV), 2023
Ru Peng
Qiuyang Duan
Haobo Wang
Jiachen Ma
Yanbo Jiang
Yongjun Tu
Xiu Jiang
Jiaqi Zhao
ELM
247
8
0
22 Aug 2023
Quantile-based Maximum Likelihood Training for Outlier Detection
Quantile-based Maximum Likelihood Training for Outlier DetectionAAAI Conference on Artificial Intelligence (AAAI), 2023
Masoud Taghikhah
Nishant Kumar
Sinisa Segvic
Abouzar Eslami
Stefan Gumhold
330
5
0
20 Aug 2023
How Good Are LLMs at Out-of-Distribution Detection?
How Good Are LLMs at Out-of-Distribution Detection?International Conference on Language Resources and Evaluation (LREC), 2023
Bo Liu
Li-Ming Zhan
Zexin Lu
Yu Feng
Lei Xue
Xiao-Ming Wu
OODD
379
17
0
20 Aug 2023
From Global to Local: Multi-scale Out-of-distribution Detection
From Global to Local: Multi-scale Out-of-distribution DetectionIEEE Transactions on Image Processing (IEEE TIP), 2023
Ji Zhang
Lianli Gao
Bingguang Hao
Hao Huang
Jingkuan Song
Mengqi Li
OODD
152
23
0
20 Aug 2023
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation
Dan Zhang
K. Sakmann
William H. Beluch
Robin Hutmacher
Yumeng Li
163
8
0
19 Aug 2023
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain
  Alignment
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain AlignmentACM Multimedia (ACM MM), 2023
Ji Zhang
Xiao-Jun Wu
Zhi-Qi Cheng
Qin He
Wei Li
314
9
0
16 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using
  Pre-trained Diffusion Models
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Ruiyuan Gao
Chenchen Zhao
Lanqing Hong
Q. Xu
261
24
0
15 Aug 2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in
  Entropy Minimization
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy MinimizationIEEE International Conference on Computer Vision (ICCV), 2023
Jungsoo Lee
Debasmit Das
Jaegul Choo
Sungha Choi
TTAVLM
232
43
0
14 Aug 2023
Out-of-Distribution Detection for Monocular Depth Estimation
Out-of-Distribution Detection for Monocular Depth EstimationIEEE International Conference on Computer Vision (ICCV), 2023
Julia Hornauer
Adrian Holzbock
Vasileios Belagiannis
UQCV
192
6
0
11 Aug 2023
Expert load matters: operating networks at high accuracy and low manual
  effort
Expert load matters: operating networks at high accuracy and low manual effortNeural Information Processing Systems (NeurIPS), 2023
Sara Sangalli
Ertunc Erdil
E. Konukoglu
186
7
0
09 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in
  Medical Image Segmentation
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation
M. Woodland
Nihil Patel
Mais Al Taie
J. Yung
Tucker Netherton
Ankit B. Patel
Kristy K. Brock
OOD
185
8
0
07 Aug 2023
ETran: Energy-Based Transferability Estimation
ETran: Energy-Based Transferability EstimationIEEE International Conference on Computer Vision (ICCV), 2023
Mohsen Gholami
Mohammad Akbari
Xinglu Wang
Behnam Kamranian
Yong Zhang
172
19
0
03 Aug 2023
Three Factors to Improve Out-of-Distribution Detection
Three Factors to Improve Out-of-Distribution Detection
Hyunjun Choi
Jaeho Chung
Hawook Jeong
J. Choi
OODD
208
2
0
02 Aug 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with
  Orthogonal Projection of Gradients
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of GradientsNeural Information Processing Systems (NeurIPS), 2023
Sima Behpour
T. Doan
Xin Li
Wenbin He
Liangke Gou
Liu Ren
OODD
311
20
0
01 Aug 2023
Detecting Out-of-distribution Objects Using Neuron Activation Patterns
Detecting Out-of-distribution Objects Using Neuron Activation PatternsEuropean Conference on Artificial Intelligence (ECAI), 2023
Bartlomiej Olber
Krystian Radlak
K. Chachula
Jakub Lyskawa
Piotr Fratczak
OODD
122
0
0
31 Jul 2023
Uncertainty-aware Unsupervised Multi-Object Tracking
Uncertainty-aware Unsupervised Multi-Object TrackingIEEE International Conference on Computer Vision (ICCV), 2023
Kai Liu
Sheng Jin
Zhihang Fu
Ze Chen
Rongxin Jiang
Jieping Ye
VOTMQ
224
15
0
28 Jul 2023
Decoding the Secrets of Machine Learning in Malware Classification: A
  Deep Dive into Datasets, Feature Extraction, and Model Performance
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model PerformanceConference on Computer and Communications Security (CCS), 2023
Savino Dambra
Yufei Han
Simone Aonzo
Platon Kotzias
Antonino Vitale
Juan Caballero
Davide Balzarotti
Leyla Bilge
264
43
0
27 Jul 2023
How Does Diffusion Influence Pretrained Language Models on
  Out-of-Distribution Data?
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?European Conference on Artificial Intelligence (ECAI), 2023
Huazheng Wang
Daixuan Cheng
Haifeng Sun
Jingyu Wang
Q. Qi
Jianxin Liao
Jing Wang
Cong Liu
196
1
0
26 Jul 2023
Unmasking Anomalies in Road-Scene Segmentation
Unmasking Anomalies in Road-Scene SegmentationIEEE International Conference on Computer Vision (ICCV), 2023
Shyam Nandan Rai
Fabio Cermelli
Dario Fontanel
Carlo Masone
Barbara Caputo
ISeg
193
56
0
25 Jul 2023
General-Purpose Multi-Modal OOD Detection Framework
General-Purpose Multi-Modal OOD Detection Framework
Viet Duong
Qiong Wu
Zhengyi Zhou
Eric Zavesky
Jiahe Chen
Xiangzhou Liu
Wen-Ling Hsu
Huajie Shao
OODD
214
2
0
24 Jul 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using
  FMCW Radar
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
454
7
0
24 Jul 2023
RetouchingFFHQ: A Large-scale Dataset for Fine-grained Face Retouching
  Detection
RetouchingFFHQ: A Large-scale Dataset for Fine-grained Face Retouching DetectionACM Multimedia (ACM MM), 2023
Qichao Ying
Jiaxin Liu
Sheng Li
Haisheng Xu
Zhenxing Qian
Xinpeng Zhang
CVBM
208
13
0
20 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems
A Holistic Assessment of the Reliability of Machine Learning Systems
Anthony Corso
David Karamadian
Romeo Valentin
Mary Cooper
Mykel J. Kochenderfer
316
10
0
20 Jul 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using
  Pretrained Transformers
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained TransformersAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jaeyoung Kim
Kyuheon Jung
Dongbin Na
Sion Jang
Eunbin Park
Sungchul Choi
OODD
183
10
0
18 Jul 2023
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present,
  and Future
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and FutureIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Chaoyang Zhu
Long Chen
ObjDVLM
510
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Towards Trustworthy Dataset Distillation
Towards Trustworthy Dataset DistillationPattern Recognition (Pattern Recogn.), 2023
Shijie Ma
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
DD
244
19
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18 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text
  Classification Tasks
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
M. Baran
Joanna Baran
Mateusz Wójcik
Maciej Ziȩba
Adam Gonczarek
OODD
320
10
0
13 Jul 2023
Large Class Separation is not what you need for Relational
  Reasoning-based OOD Detection
Large Class Separation is not what you need for Relational Reasoning-based OOD DetectionInternational Conference on Image Analysis and Processing (ICIAP), 2023
L. Lu
Giulia DÁscenzi
Francesco Cappio Borlino
Tatiana Tommasi
OODD
95
1
0
12 Jul 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in
  Open Worlds
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open WorldsPattern Recognition (Pattern Recogn.), 2023
Tianqi Li
Guansong Pang
Xiao Bai
Jingyi Zheng
Lei Zhou
Xin Ning
VLM
246
36
0
07 Jul 2023
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