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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"

27 / 77 papers shown
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Jiawen Zhu
Choubo Ding
Yu Tian
Guansong Pang
439
37
0
19 Oct 2023
Open-Set Multivariate Time-Series Anomaly Detection
Open-Set Multivariate Time-Series Anomaly DetectionEuropean Conference on Artificial Intelligence (ECAI), 2023
Thomas Lai
Thi Kieu Khanh Ho
Narges Armanfard
AI4TS
286
5
0
18 Oct 2023
Cross-attention-based saliency inference for predicting cancer
  metastasis on whole slide images
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide imagesIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Ziyu Su
Mostafa Rezapour
Usama Sajjad
Shuo Niu
M. Gürcan
M. Niazi
283
9
0
18 Sep 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
348
5
0
20 Aug 2023
Robust Fraud Detection via Supervised Contrastive Learning
Robust Fraud Detection via Supervised Contrastive LearningBigData Congress [Services Society] (BSS), 2023
M.S Vinay
Shuhan Yuan
Xintao Wu
AAML
164
1
0
19 Aug 2023
Target before Shooting: Accurate Anomaly Detection and Localization
  under One Millisecond via Cascade Patch Retrieval
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch RetrievalIEEE Transactions on Image Processing (IEEE TIP), 2023
Hanxi Li
Jianfei Hu
Yue Liu
Hao Chen
Yongbin Zheng
Chunhua Shen
222
40
0
13 Aug 2023
RoSAS: Deep Semi-Supervised Anomaly Detection with
  Contamination-Resilient Continuous Supervision
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous SupervisionInformation Processing & Management (IPM), 2023
Hongzuo Xu
Yijie Wang
Guansong Pang
Songlei Jian
Ninghui Liu
Yongjun Wang
184
40
0
25 Jul 2023
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly
  Detection
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly DetectionPattern Recognition (Pattern Recogn.), 2023
Yujin Lee
Harin Lim
Seoyoon Jang
H. Yoon
242
12
0
24 Jul 2023
Self-Tuning Self-Supervised Image Anomaly Detection
Self-Tuning Self-Supervised Image Anomaly Detection
Jaemin Yoo
Lingxiao Zhao
Leman Akoglu
371
4
0
21 Jun 2023
SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection
SaliencyCut: Augmenting Plausible Anomalies for Anomaly DetectionPattern Recognition (Pattern Recogn.), 2023
Jianan Ye
Yijie Hu
Xi Yang
Qiufeng Wang
Chao Huang
Kaizhu Huang
240
7
0
14 Jun 2023
Industrial Anomaly Detection and Localization Using Weakly-Supervised
  Residual Transformers
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers
Hanxi Li
Jing Wu
Lin Yuanbo Wu
Hao Chen
Deyin Liu
Mingwen Wang
Peng Wang
ViT
404
4
0
06 Jun 2023
Reconstruction Error-based Anomaly Detection with Few Outlying Examples
Reconstruction Error-based Anomaly Detection with Few Outlying Examples
F. Angiulli
Fabio Fassetti
L. Ferragina
UQCVAAML
276
10
0
17 May 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution ShiftIEEE International Conference on Computer Vision (ICCV), 2023
T. Cao
Jiawen Zhu
Guansong Pang
256
47
0
24 Mar 2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
IM-IAD: Industrial Image Anomaly Detection Benchmark in ManufacturingIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
Guoyang Xie
Jinbao Wang
Jiaqi Liu
Jiayi Lyu
Wenshu Fan
Chengjie Wang
Feng Zheng
Yaochu Jin
VLM
356
108
0
31 Jan 2023
Graph Anomaly Detection in Time Series: A Survey
Graph Anomaly Detection in Time Series: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Thi Kieu Khanh Ho
Ali Karami
Narges Armanfard
AI4TS
672
18
0
31 Jan 2023
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision:
  Graphcore
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: GraphcoreInternational Conference on Learning Representations (ICLR), 2023
Guoyang Xie
Jingbao Wang
Jiaqi Liu
Feng Zheng
Yaochu Jin
313
94
0
28 Jan 2023
Deep Industrial Image Anomaly Detection: A Survey
Deep Industrial Image Anomaly Detection: A SurveyMachine Intelligence Research (MIR), 2023
Jiaqi Liu
Guoyang Xie
Jingbao Wang
Shangwen Li
Chengjie Wang
Feng Zheng
Yaochu Jin
412
319
0
27 Jan 2023
Attention2Minority: A salient instance inference-based multiple instance
  learning for classifying small lesions in whole slide images
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images
Ziyu Su
Mostafa Rezapour
Usama Sajjad
M. Gürcan
M. Niazi
246
20
0
18 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization
Prototypical Residual Networks for Anomaly Detection and LocalizationComputer Vision and Pattern Recognition (CVPR), 2022
H. Zhang
Zuxuan Wu
Liang Luo
Zhineng Chen
Yuwei Jiang
UQCVAI4TS
250
104
0
05 Dec 2022
A Novel Center-based Deep Contrastive Metric Learning Method for the
  Detection of Polymicrogyria in Pediatric Brain MRI
A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRI
Lingfeng Zhang
N. Abdeen
Jochen Lang
136
3
0
22 Nov 2022
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly
  Detection
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly DetectionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Peng-Fei Xing
Hao Tang
Jinhui Tang
Zechao Li
433
13
0
19 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
364
3
0
09 Oct 2022
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing
  Flow and Dictionary Learning
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary LearningInternational journal of pattern recognition and artificial intelligence (IJPRAI), 2022
Yaohua Guo
Lijuan Song
Zirui Ma
225
0
0
15 Sep 2022
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision
  for Unsupervised Anomaly Detection is Creating the Illusion of Success
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success
Jaemin Yoo
Tianchen Zhao
Leman Akoglu
522
11
0
16 Aug 2022
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for
  Supervised Anomaly Detection
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Xincheng Yao
Ruoqing Li
Jing Zhang
Jun Sun
Chongyang Zhang
266
102
0
04 Jul 2022
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial
  Images
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial ImagesIEEE Access (IEEE Access), 2022
Yajie Cui
Zhaoxiang Liu
Kai Wang
OODDRL
476
83
0
24 Apr 2022
Deep Weakly-supervised Anomaly Detection
Deep Weakly-supervised Anomaly DetectionKnowledge Discovery and Data Mining (KDD), 2019
Guansong Pang
Chunhua Shen
Huidong Jin
Anton van den Hengel
244
122
0
30 Oct 2019
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