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Diversity-Measurable Anomaly Detection

Diversity-Measurable Anomaly Detection

Computer Vision and Pattern Recognition (CVPR), 2023
9 March 2023
Wenrui Liu
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
ArXiv (abs)PDFHTML

Papers citing "Diversity-Measurable Anomaly Detection"

20 / 20 papers shown
ADNet: A Large-Scale and Extensible Multi-Domain Benchmark for Anomaly Detection Across 380 Real-World Categories
ADNet: A Large-Scale and Extensible Multi-Domain Benchmark for Anomaly Detection Across 380 Real-World Categories
Hai Ling
Jia Guo
Zhulin Tao
Yunkang Cao
Donglin Di
Hongyan Xu
Xiu Su
Yang Song
Lei Fan
110
0
0
25 Nov 2025
VADER: Towards Causal Video Anomaly Understanding with Relation-Aware Large Language Models
VADER: Towards Causal Video Anomaly Understanding with Relation-Aware Large Language Models
Ying Cheng
Y. Lin
Min-Hung Chen
Fu-En Yang
S. Lai
194
0
0
10 Nov 2025
Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection
Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection
Yuyang Yu
Zhengwei Chen
Xuemiao Xu
Lei Zhang
Haoxin Yang
Yongwei Nie
Shengfeng He
3DPC
207
0
0
19 Oct 2025
Normal-Abnormal Guided Generalist Anomaly Detection
Normal-Abnormal Guided Generalist Anomaly Detection
Yuexin Wang
Xiaolei Wang
Yizheng Gong
Jimin Xiao
231
0
0
01 Oct 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
242
1
0
29 Jul 2025
Handling Out-of-Distribution Data: A Survey
Handling Out-of-Distribution Data: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
L. Tamang
Mohamed Reda Bouadjenek
Richard Dazeley
S. Aryal
OODOODD
282
6
0
25 Jul 2025
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Learning to Detect Multi-class Anomalies with Just One Normal Image PromptEuropean Conference on Computer Vision (ECCV), 2025
Bin-Bin Gao
296
18
0
14 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Bin-Bin Gao
VLM
361
10
0
14 May 2025
Detecting Contextual Anomalies by Discovering Consistent Spatial Regions
Detecting Contextual Anomalies by Discovering Consistent Spatial Regions
Zhengye Yang
Richard J. Radke
263
2
0
14 Jan 2025
Identifying Spatio-Temporal Drivers of Extreme Events
Identifying Spatio-Temporal Drivers of Extreme EventsNeural Information Processing Systems (NeurIPS), 2024
Mohamad Hakam Shams Eddin
Juergen Gall
AI4TS
307
0
0
31 Oct 2024
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
Jiawen Zhu
Yew-Soon Ong
Chunhua Shen
Guansong Pang
280
13
0
14 Oct 2024
Not All Regions Are Equal: Attention-Guided Perturbation Network for Industrial Anomaly Detection
Not All Regions Are Equal: Attention-Guided Perturbation Network for Industrial Anomaly Detection
Tingfeng Huang
Yuxuan Cheng
Yuxuan Cheng
Jingbo Xia
Rui Yu
Jinhai Xiang
Xinwei He
AAML
452
0
0
14 Aug 2024
Learning Feature Inversion for Multi-class Anomaly Detection under
  General-purpose COCO-AD Benchmark
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
Jiang-She Zhang
Chengjie Wang
Xiangtai Li
Guanzhong Tian
Zhucun Xue
Yong Liu
Guansong Pang
Dacheng Tao
255
13
0
16 Apr 2024
A Novel Approach to Industrial Defect Generation through Blended Latent
  Diffusion Model with Online Adaptation
A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation
Hanxi Li
Zhengxun Zhang
Hao Chen
Lin Wu
Bo Li
Deyin Liu
Mingwen Wang
263
11
0
29 Feb 2024
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
Divide and Conquer in Video Anomaly Detection: A Comprehensive Review
  and New Approach
Divide and Conquer in Video Anomaly Detection: A Comprehensive Review and New ApproachACM Cloud and Autonomic Computing Conference (CAC), 2023
Jian Xiao
Tianyuan Liu
G. Ji
299
7
0
26 Sep 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
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
407
4
0
06 Jun 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Hui Zhang
Zheng Wang
Dan Zeng
Zuxuan Wu
Yu-Gang Jiang
DiffM
443
79
0
15 Mar 2023
Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework
  for Video Anomaly Detection
Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly DetectionIEEE Transactions on Image Processing (IEEE TIP), 2022
Congqi Cao
Yue Lu
Yanning Zhang
221
38
0
07 Sep 2022
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