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Deep Anomaly Detection with Outlier Exposure

Deep Anomaly Detection with Outlier Exposure

11 December 2018
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
    OODD
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Papers citing "Deep Anomaly Detection with Outlier Exposure"

50 / 240 papers shown
Title
Panoramic Out-of-Distribution Segmentation
Panoramic Out-of-Distribution Segmentation
Mengfei Duan
Kailun Yang
Y. Zhang
Yihong Cao
Fei Teng
Kai Luo
Jiaming Zhang
Zhiyong Li
Shutao Li
59
0
0
06 May 2025
Open-set Anomaly Segmentation in Complex Scenarios
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
S. Liu
Alex C. Kot
Xudong Jiang
DiffM
50
0
0
28 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang
Bin Liang
An Liu
Lin Gui
Xingkai Yao
Xiaofang Zhang
OODD
69
3
0
18 Apr 2025
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
Jiongchi Yu
Xiaofei Xie
Q. Hu
Bowen Zhang
Ziming Zhao
Yun Lin
Lei Ma
Ruitao Feng
Frank Liau
41
0
0
12 Apr 2025
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
Shijie Ma
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
29
1
0
02 Apr 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
Yu Wang
Junxian Mu
Hongzhi Huang
Qilong Wang
Pengfei Zhu
Q. Hu
57
0
0
22 Mar 2025
Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information
Youngju Joung
Sehyun Lee
Jaesik Choi
AAML
45
1
0
12 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
85
2
0
04 Mar 2025
Solving Instance Detection from an Open-World Perspective
Solving Instance Detection from an Open-World Perspective
Qianqian Shen
Yunhan Zhao
Nahyun Kwon
Jeeeun Kim
Yanan Li
Shu Kong
32
0
0
01 Mar 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
Hugo Lyons Keenan
S. Erfani
Christopher Leckie
OODD
202
0
0
27 Feb 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Yuhan Chen
Yihong Luo
Yifan Song
Pengwen Dai
Jing Tang
Xiaochun Cao
OODD
42
1
0
25 Feb 2025
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories
Hongzhe Cheng
Tianyou Zheng
Tianyi Zhang
Matthew Johnson-Roberson
Weiming Zhi
DiffM
50
0
0
23 Feb 2025
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
Divake Kumar
Nastaran Darabi
Sina Tayebati
A. R. Trivedi
69
0
0
11 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
104
0
0
09 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
40
1
0
05 Feb 2025
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Henry Li
Ronen Basri
Y. Kluger
DiffM
54
2
0
13 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
J. Zhang
Y. Wang
C. Zhao
56
3
0
03 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
Jiayi Huang
Sangwoo Park
Osvaldo Simeone
94
2
0
03 Jan 2025
Pretraining with random noise for uncertainty calibration
Pretraining with random noise for uncertainty calibration
Jeonghwan Cheon
Se-Bum Paik
OnRL
41
0
0
23 Dec 2024
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
52
1
0
16 Nov 2024
Deep Active Learning in the Open World
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
137
1
0
10 Nov 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
111
0
0
19 Oct 2024
Open World Object Detection: A Survey
Open World Object Detection: A Survey
Yiming Li
Yi Wang
Wenqian Wang
Dan Lin
Bingbing Li
Kim-Hui Yap
ObjD
39
0
0
15 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
64
3
0
18 Sep 2024
Can OOD Object Detectors Learn from Foundation Models?
Can OOD Object Detectors Learn from Foundation Models?
Jiahui Liu
Xin Wen
Shizhen Zhao
Y. Chen
Xiaojuan Qi
OODD
38
2
0
08 Sep 2024
LoGex: Improved tail detection of extremely rare histopathology classes
  via guided diffusion
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion
Maximilian Mueller
Matthias Hein
MedIm
37
0
0
02 Sep 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph
  Out-of-Distribution Detection
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection
Junwei He
Qianqian Xu
Yangbangyan Jiang
Zitai Wang
Yuchen Sun
Qingming Huang
OODD
35
0
0
31 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
40
1
0
16 Jul 2024
GalLoP: Learning Global and Local Prompts for Vision-Language Models
GalLoP: Learning Global and Local Prompts for Vision-Language Models
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Audebert
Nicolas Thome
VLM
39
8
0
01 Jul 2024
Enhancing Anomaly Detection Generalization through Knowledge Exposure:
  The Dual Effects of Augmentation
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
Mohammad Akhavan Anvari
Rojina Kashefi
Vahid Reza Khazaie
Mohammad Khalooei
Mohammad Sabokrou
39
0
0
15 Jun 2024
Robust Image Classification in the Presence of Out-of-Distribution and
  Adversarial Samples Using Attractors in Neural Networks
Robust Image Classification in the Presence of Out-of-Distribution and Adversarial Samples Using Attractors in Neural Networks
N. Alipour
Seyyed Ali SeyyedSalehi
39
0
0
15 Jun 2024
Continual Unsupervised Out-of-Distribution Detection
Continual Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
OODD
33
0
0
04 Jun 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Hiroshi Takahashi
Tomoharu Iwata
Atsutoshi Kumagai
Yuuki Yamanaka
35
1
0
29 May 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu
Ruiji Yu
Xinwen Cheng
Zhengbao He
Xiaolin Huang
OODD
66
1
0
28 May 2024
ReMoDetect: Reward Models Recognize Aligned LLM's Generations
ReMoDetect: Reward Models Recognize Aligned LLM's Generations
Hyunseok Lee
Jihoon Tack
Jinwoo Shin
DeLMO
38
0
0
27 May 2024
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent
  Video Streaming Encryption
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption
Arwin Gansekoele
Tycho Bot
R. V. D. Mei
S. Bhulai
Mark Hoogendoorn
18
0
0
16 May 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Jiayang Song
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
39
6
0
12 Apr 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real
  World
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Bani Mallick
UQCV
33
0
0
29 Mar 2024
Advancing Out-of-Distribution Detection through Data Purification and
  Dynamic Activation Function Design
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
Yingrui Ji
Yao Zhu
Zhigang Li
Jiansheng Chen
Yun-long Kong
Jingbo Chen
OODD
35
0
0
06 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
46
10
0
05 Mar 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
Will LeVine
Benjamin Pikus
Jacob Phillips
Berk Norman
Fernando Amat Gil
Sean Hendryx
OODD
61
1
0
22 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
72
1
0
17 Jan 2024
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic
  Dataset and New Metrics
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics
Beiwen Tian
Huan-ang Gao
Leiyao Cui
Yupeng Zheng
Lan Luo
Baofeng Wang
Rong Zhi
Guyue Zhou
Hao Zhao
24
4
0
10 Jan 2024
UFO: Unidentified Foreground Object Detection in 3D Point Cloud
UFO: Unidentified Foreground Object Detection in 3D Point Cloud
Hyunjun Choi
Hawook Jeong
Jin Young Choi
3DPC
16
1
0
08 Jan 2024
A Survey on Open-Set Image Recognition
A Survey on Open-Set Image Recognition
Jiaying Sun
Qiulei Dong
BDL
ObjD
32
3
0
25 Dec 2023
HAROOD: Human Activity Classification and Out-of-Distribution Detection
  with Short-Range FMCW Radar
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard G. Steinbach
32
4
0
14 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
18
1
0
30 Nov 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing
  Out-of-Distribution Detection
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection
Naveen Karunanayake
Suranga Seneviratne
Sanjay Chawla
OODD
23
1
0
23 Nov 2023
Autoencoder with Group-based Decoder and Multi-task Optimization for
  Anomalous Sound Detection
Autoencoder with Group-based Decoder and Multi-task Optimization for Anomalous Sound Detection
Yifan Zhou
Dongxing Xu
Haoran Wei
Yanhua Long
24
0
0
15 Nov 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts
  in NLP
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
Hyuhng Joon Kim
Hyunsoo Cho
Sang-Woo Lee
Junyeob Kim
Choonghyun Park
Sang-goo Lee
Kang Min Yoo
Taeuk Kim
VLM
OOD
40
1
0
23 Oct 2023
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