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Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

Computer Vision and Pattern Recognition (CVPR), 2022
28 March 2022
Choubo Ding
Guansong Pang
Chunhua Shen
    OOD
ArXiv (abs)PDFHTMLGithub (88★)

Papers citing "Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection"

50 / 77 papers shown
Title
A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features
A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features
Hanzhe Liang
Jie Zhou
C. Gao
Bingyang Guo
Jinbao Wang
Linlin Shen
3DPC
92
0
0
17 Nov 2025
CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection
CEDL: Centre-Enhanced Discriminative Learning for Anomaly Detection
Zahra Zamanzadeh Darban
Qizhou Wang
Charu C. Aggarwal
Geoffrey I. Webb
Ehsan Abbasnejad
Mahsa Salehi
50
0
0
15 Nov 2025
UniADC: A Unified Framework for Anomaly Detection and Classification
UniADC: A Unified Framework for Anomaly Detection and Classification
Ximiao Zhang
Min Xu
Zheng Zhang
J. Hu
Xiuzhuang Zhou
132
0
0
10 Nov 2025
Normal-Abnormal Guided Generalist Anomaly Detection
Normal-Abnormal Guided Generalist Anomaly Detection
Yuexin Wang
Xiaolei Wang
Yizheng Gong
Jimin Xiao
194
0
0
01 Oct 2025
Efficient Odd-One-Out Anomaly Detection
Efficient Odd-One-Out Anomaly Detection
Silvio Chito
Paolo Rabino
Tatiana Tommasi
76
1
0
04 Sep 2025
No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes
No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision RegimesJournal of Intelligent Manufacturing (J Intell Manuf), 2025
Blaž Rolih
Matic Fucka
D. Skočaj
87
0
0
26 Aug 2025
Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection
Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection
Xue Yang
J. Wu
Lin Yuanbo Wu
Mingliang Li
Deyin Liu
Jialie Shen
Chunhua Shen
Mamba
226
0
0
03 Aug 2025
Anomalous Samples for Few-Shot Anomaly Detection
Anomalous Samples for Few-Shot Anomaly DetectionProcedia Computer Science (PCS), 2025
Aymane Abdali
Bartosz Boguslawski
Lucas Drumetz
Vincent Gripon
91
0
0
31 Jul 2025
VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding
VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding
Shibo Gao
Peipei Yang
Yangyang Liu
Y. Chen
Han Zhu
Xuyao Zhang
Linlin Huang
102
2
0
29 Jul 2025
The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM
The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM
Shibo Gao
P. Yang
Haiyang Guo
Y. Liu
Y. Chen
Shuai Li
Han Zhu
Jian Xu
Xu-Yao Zhang
Linlin Huang
VGen
215
1
0
29 Jul 2025
Crucial-Diff: A Unified Diffusion Model for Crucial Image and Annotation Synthesis in Data-scarce Scenarios
Crucial-Diff: A Unified Diffusion Model for Crucial Image and Annotation Synthesis in Data-scarce ScenariosIEEE Transactions on Image Processing (IEEE TIP), 2025
Siyue Yao
Mingjie Sun
Eng Gee Lim
Ran Yi
Baojiang Zhong
Moncef Gabbouj
146
0
0
14 Jul 2025
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection
Hanzhe Liang
Jie Zhang
Tao Dai
LinLin Shen
Jinbao Wang
Can Gao
3DPC
304
5
0
05 Jul 2025
Serial-OE: Anomalous sound detection based on serial method with outlier exposure capable of using small amounts of anomalous data for training
Serial-OE: Anomalous sound detection based on serial method with outlier exposure capable of using small amounts of anomalous data for trainingAPSIPA Transactions on Signal and Information Processing (TASIP), 2025
Ibuki Kuroyanagi
Tomoki Hayashi
K. Takeda
Tomoki Toda
223
3
0
25 May 2025
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
Bin-Bin Gao
Yue Zhou
Jiangtao Yan
Y. Cai
Weinan Zhang
Meng Wang
Jun Liu
Wenshu Fan
Lei Wang
Chengjie Wang
VLM
271
8
0
15 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Bin-Bin Gao
VLM
334
9
0
14 May 2025
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection
Alireza Salehi
Mohammadreza Salehi
Reshad Hosseini
Cees G. M. Snoek
Makoto Yamada
Mohammad Sabokrou
VLM
288
2
0
15 Apr 2025
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Aimira Baitieva
Yacine Bouaouni
Alexandre Briot
Dick Ameln
Souhaiel Khalfaoui
S. Akçay
206
0
0
30 Mar 2025
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
Paul J. Krassnig
Dieter P. Gruber
1.0K
1
0
06 Mar 2025
PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness
Yurui Pan
Lidong Wang
Yuchao Chen
Wenbing Zhu
Bo Peng
M. Chi
193
1
0
03 Mar 2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2025
Fuyun Wang
Tong Zhang
Yuanzhi Wang
Yide Qiu
Xin Liu
Xu Guo
Zhen Cui
DiffM
231
4
0
28 Feb 2025
SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image
SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope ImageInternational Conference on Computer Aided Design (ICCAD), 2024
Qian Jin
Yuqi Jiang
Xudong Lu
Yumeng Liu
Yining Chen
Dawei Gao
Qi Sun
Cheng Zhuo
286
3
0
24 Feb 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
SoftPatch+: Fully Unsupervised Anomaly Classification and SegmentationPattern Recognition (Pattern Recogn.), 2024
Chengjie Wang
Xi Jiang
Bin-Bin Gao
Zhenye Gan
Wenshu Fan
Feng Zheng
Lizhuang Ma
UQCV
418
11
0
30 Dec 2024
Towards Zero-shot 3D Anomaly Localization
Towards Zero-shot 3D Anomaly LocalizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Yizhou Wang
Kuan-Chuan Peng
Y. Fu
332
8
0
05 Dec 2024
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy
  Training Data
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training DataIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Jiin Im
Yongho Son
Je Hyeong Hong
AAML
273
7
0
25 Nov 2024
SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly Detection
SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly Detection
Yizhe Liu
Yan Song Hu
Yuhao Chen
John S. Zelek
228
6
0
15 Oct 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives
Deep Graph Anomaly Detection: A Survey and New PerspectivesIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Hezhe Qiao
Hanghang Tong
Bo An
Irwin King
Charu Aggarwal
Guansong Pang
305
30
0
16 Sep 2024
Deep Learning for Video Anomaly Detection: A Review
Deep Learning for Video Anomaly Detection: A Review
Peng Wu
Chengyu Pan
Yuting Yan
Guansong Pang
Peng Wang
Yanning Zhang
VLMAI4TS
192
30
0
09 Sep 2024
AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial
  Anomaly Detection
AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection
Mykhailo Koshil
Tilman Wegener
Detlef Mentrup
Simone Frintrop
Christian Wilms
293
2
0
27 Aug 2024
AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning
  with Only Normal Samples
AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal Samples
Yujin Lee
Seoyoon Jang
Hyunsoo Yoon
165
1
0
24 Aug 2024
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast
  and Reliable Surface Defect Detection
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect DetectionInternational Conference on Pattern Recognition (ICPR), 2024
Blaž Rolih
Matic Fučka
Danijel Skočaj
248
16
0
06 Aug 2024
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot
  Anomaly Detection
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
Yunkang Cao
Jiangning Zhang
Luca Frittoli
Yuqi Cheng
Nong Sang
Giacomo Boracchi
VLM
224
122
0
22 Jul 2024
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries
Yuqi Jiang
Xudong Lu
Qian Jin
Qi Sun
Hanming Wu
Cheng Zhuo
297
15
0
15 Jul 2024
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and
  Localization
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
Hanxi Li
Jingqi Wu
Lin Yuanbo Wu
Hao Chen
Deyin Liu
Chunhua Shen
225
1
0
03 Jul 2024
Odd-One-Out: Anomaly Detection by Comparing with Neighbors
Odd-One-Out: Anomaly Detection by Comparing with Neighbors
A. Bhunia
Changjian Li
Hakan Bilen
382
1
0
28 Jun 2024
ATAC-Net: Zoomed view works better for Anomaly Detection
ATAC-Net: Zoomed view works better for Anomaly Detection
Shaurya Gupta
Neil Gautam
Anurag Malyala
155
0
0
20 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
320
2
0
29 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Yixin Liu
Shiyuan Li
Yu Zheng
Qingfeng Chen
Chengqi Zhang
Shirui Pan
209
30
0
27 May 2024
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
Yifeng Peng
Xinyi Li
Zhiding Liang
Ying Wang
242
6
0
25 May 2024
LogicAL: Towards logical anomaly synthesis for unsupervised anomaly
  localization
LogicAL: Towards logical anomaly synthesis for unsupervised anomaly localization
Ying Zhao
254
9
0
11 May 2024
Supervised Anomaly Detection for Complex Industrial Images
Supervised Anomaly Detection for Complex Industrial Images
Aimira Baitieva
David Hurych
Victor Besnier
Olivier Bernard
212
22
0
08 May 2024
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang
Ying Chen
Qiang Nie
Wenshu Fan
Jianlin Liu
Jinbao Wang
WU Kai
Chengjie Wang
Feng Zheng
344
95
0
21 Mar 2024
Toward Multi-class Anomaly Detection: Exploring Class-aware Unified
  Model against Inter-class Interference
Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference
Xi Jiang
Ying Chen
Qiang Nie
Jianlin Liu
Yong-Jin Liu
Chengjie Wang
Feng Zheng
257
6
0
21 Mar 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in
  Medical Images
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images
Chaoqin Huang
Aofan Jiang
Jinghao Feng
Ya Zhang
Xinchao Wang
Yanfeng Wang
MedIm
241
81
0
19 Mar 2024
DMAD: Dual Memory Bank for Real-World Anomaly Detection
DMAD: Dual Memory Bank for Real-World Anomaly Detection
Jianlong Hu
Xu Chen
Zhenye Gan
Jinlong Peng
Shengchuan Zhang
Jiangning Zhang
Yabiao Wang
Chengjie Wang
Liujuan Cao
Rongrong Ji
172
10
0
19 Mar 2024
Toward Generalist Anomaly Detection via In-context Residual Learning
  with Few-shot Sample Prompts
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample PromptsComputer Vision and Pattern Recognition (CVPR), 2024
Jiawen Zhu
Guansong Pang
VLM
364
79
0
11 Mar 2024
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
Yunkang Cao
Xiaohao Xu
Jiangning Zhang
Yuqi Cheng
Xiaonan Huang
Guansong Pang
Nong Sang
221
66
0
29 Jan 2024
DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection
DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection
Haoyang He
Jiangning Zhang
Hongxu Chen
Xuhai Chen
Zhishan Li
Xu Chen
Yabiao Wang
Chengjie Wang
Lei Xie
DiffM
211
38
0
11 Dec 2023
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion ModelAAAI Conference on Artificial Intelligence (AAAI), 2023
Teng Hu
Jiangning Zhang
Ran Yi
Yuzhen Du
Xu Chen
Liang Liu
Yabiao Wang
Chengjie Wang
307
128
0
10 Dec 2023
Open-Vocabulary Video Anomaly Detection
Open-Vocabulary Video Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Peng Wu
Xuerong Zhou
Guansong Pang
Yujia Sun
Jing Liu
Peng Wang
Yanning Zhang
VLM
374
58
0
13 Nov 2023
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly
  Detection
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly DetectionInternational Conference on Learning Representations (ICLR), 2023
Qihang Zhou
Guansong Pang
Yu Tian
Shibo He
Jiming Chen
VLM
681
272
0
29 Oct 2023
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