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2104.10036
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VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
International Symposium on Industrial Electronics (ISIE), 2021
20 April 2021
P. Mishra
Riccardo Verk
Daniele Fornasier
C. Piciarelli
G. Foresti
ViT
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Papers citing
"VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization"
50 / 163 papers shown
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2024
Qisen Cheng
Shuhui Qu
Janghwan Lee
301
5
0
17 Jan 2025
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Chengyuan Li
Suyang Zhou
Jieping Kong
Lei Qi
Hui Xue
VLM
264
7
0
08 Jan 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
Pattern Recognition (Pattern Recogn.), 2024
Chengjie Wang
Xi Jiang
Bin-Bin Gao
Zhenye Gan
Wenshu Fan
Feng Zheng
Lizhuang Ma
UQCV
438
12
0
30 Dec 2024
VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling
IEEE Transactions on Industrial Informatics (IEEE TII), 2024
Yunkang Cao
Haiming Yao
Wei Luo
Nong Sang
327
17
0
23 Dec 2024
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization
IEEE Transactions on Automation Science and Engineering (T-ASE), 2024
Wei Luo
Haiming Yao
Wenyong Yu
Zhengyong Li
382
31
0
16 Dec 2024
MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects
Computer Vision and Pattern Recognition (CVPR), 2024
Lei Fan
Dongdong Fan
Zhiguang Hu
Yiwen Ding
Donglin Di
Kai Yi
Maurice Pagnucco
Yang Song
249
14
0
06 Dec 2024
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Hui-Yue Yang
Hui Chen
Ao Wang
Kai Chen
Zijia Lin
Yongliang Tang
Pengcheng Gao
Yuming Quan
Jiawei Han
Guiguang Ding
VLM
505
7
0
26 Nov 2024
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection
Jiyul Ham
Yonggon Jung
Jun-Geol Baek
VLM
377
4
0
09 Nov 2024
Identifying Spatio-Temporal Drivers of Extreme Events
Neural Information Processing Systems (NeurIPS), 2024
Mohamad Hakam Shams Eddin
Juergen Gall
AI4TS
300
0
0
31 Oct 2024
ResAD: A Simple Framework for Class Generalizable Anomaly Detection
Neural Information Processing Systems (NeurIPS), 2024
Xincheng Yao
Zhongfu Chen
Chao Gao
Guangtao Zhai
Chongyang Zhang
226
14
0
26 Oct 2024
SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection
Italian National Conference on Sensors (INS), 2024
Juraj Fulir
Natascha Jeziorski
Lovro Bosnar
Hans Hagen
C. Redenbach
Petra Gospodnetić
Tobias Herrfurth
Marcus Trost
Thomas Gischkat
187
3
0
18 Oct 2024
CONSULT: Contrastive Self-Supervised Learning for Few-shot Tumor Detection
Sin Chee Chin
Wei Wei
Lee Yeong Khang
Wenming Yang
MedIm
231
0
0
15 Oct 2024
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
Jiawen Zhu
Yew-Soon Ong
Chunhua Shen
Guansong Pang
279
9
0
14 Oct 2024
On The Relationship between Visual Anomaly-free and Anomalous Representations
Riya Sadrani
Hrishikesh Sharma
Ayush Bachan
287
0
0
09 Oct 2024
Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening Mammogram
Zhemin Zhang
Bhavika Patel
Bhavik Patel
Imon Banerjee
191
0
0
17 Sep 2024
Scalable Differential Privacy Mechanisms for Real-Time Machine Learning Applications
Jessica Smith
David Williams
Emily Brown
204
0
0
16 Sep 2024
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection
European Conference on Artificial Intelligence (ECAI), 2024
Hui-Yue Yang
Hui Chen
Lihao Liu
Zijia Lin
Kai Chen
Liejun Wang
Jungong Han
Guiguang Ding
276
1
0
10 Sep 2024
Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection
International Conference on Intelligent Computing (ICIC), 2024
Tianwu Lei
Silin Chen
Bohan Wang
Zhengkai Jiang
Ningmu Zou
OOD
313
2
0
09 Sep 2024
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model
Yuanpu Cao
Lu Lin
Jinghui Chen
DiffM
255
1
0
09 Aug 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Atsuyuki Miyai
Jingkang Yang
Jingyang Zhang
Yifei Ming
Sisir Dhakal
...
Yixuan Li
Hai "Helen" Li
Ziwei Liu
Toshihiko Yamasaki
Kiyoharu Aizawa
367
29
0
31 Jul 2024
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
253
128
0
22 Jul 2024
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
Zhen Qu
Xian Tao
Mukesh Prasad
Fei Shen
Zhengtao Zhang
Xinyi Gong
Guiguang Ding
VLM
257
51
0
17 Jul 2024
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection
Yeonghyeon Park
Sungho Kang
Myung Jin Kim
Hyeong Seok Kim
Juneho Yi
AAML
189
0
0
05 Jul 2024
Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning
Jiawei Zhan
Jinxiang Lai
Bin-Bin Gao
Jun Liu
Xiaochen Chen
Chengjie Wang
243
2
0
02 Jul 2024
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
Yun Liang
Zhiguang Hu
Junjie Huang
Donglin Di
Anyang Su
Lei Fan
284
10
0
01 Jul 2024
Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection
Haiming Yao
Yunkang Cao
Wei Luo
Weihang Zhang
Wenyong Yu
Nong Sang
274
26
0
17 Jun 2024
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task
Jie Liu
Yao Wu
Xiaotong Luo
Zongze Wu
276
1
0
09 Jun 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2024
Jia Guo
Shuai Lu
Weihang Zhang
Huiqi Li
Huiqi Li
Hongen Liao
ViT
560
46
0
23 May 2024
Supervised Anomaly Detection for Complex Industrial Images
Aimira Baitieva
David Hurych
Victor Besnier
Olivier Bernard
244
22
0
08 May 2024
Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton
Chun-Wei Lin
Pi-Wei Chen
Chao-Chun Chen
OODD
168
0
0
30 Apr 2024
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
Di Wu
Shicai Fan
Xue Zhou
Li Yu
Yuzhong Deng
Jianxiao Zou
Baihong Lin
DiffM
264
6
0
27 Apr 2024
IPAD: Industrial Process Anomaly Detection Dataset
Jinfan Liu
Manwen Liao
Junjie Li
Weiming Zhao
Pengzhi Chu
Xingdong Sheng
Yunhui Liu
Yunbo Wang
247
2
0
23 Apr 2024
Multi-feature Reconstruction Network using Crossed-mask Restoration for Unsupervised Anomaly Detection
Junpu Wang
Guili Xu
Chunlei Li
Guangshuai Gao
Yuehua Cheng
242
0
0
20 Apr 2024
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
245
13
0
16 Apr 2024
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment
Jia Guo
Haonan Han
Shuai Lu
Weihang Zhang
Huiqi Li
240
2
0
31 Mar 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
296
18
0
29 Mar 2024
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
374
96
0
21 Mar 2024
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
269
6
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21 Mar 2024
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
Xincheng Yao
Ruoqing Li
Zefeng Qian
Lu Wang
Chongyang Zhang
304
29
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20 Mar 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
Chengjie Wang
Wenbing Zhu
Bin-Bin Gao
Zhenye Gan
Jianning Zhang
Zhihao Gu
Shuguang Qian
Mingang Chen
Lizhuang Ma
273
113
0
19 Mar 2024
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
European Conference on Computer Vision (ECCV), 2024
Liren He
Zhengkai Jiang
Jinlong Peng
Liang Liu
Qiangang Du
Xiaobin Hu
Wenbing Zhu
Mingmin Chi
Yabiao Wang
Chengjie Wang
261
27
0
18 Mar 2024
Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation
Computer Vision and Pattern Recognition (CVPR), 2024
Mingyu Lee
Jongwon Choi
300
17
0
10 Mar 2024
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2024
Ximiao Zhang
Min Xu
Xiuzhuang Zhou
263
163
0
09 Mar 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
Yuhu Bai
Jiangning Zhang
Yuhang Dong
Guanzhong Tian
Liang Liu
Yunkang Cao
Yabiao Wang
Chengjie Wang
269
10
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07 Mar 2024
Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review
Iryna Hartsock
Ghulam Rasool
369
166
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04 Mar 2024
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
244
11
0
29 Feb 2024
A Survey on Safe Multi-Modal Learning System
Tianyi Zhao
Liangliang Zhang
Yao Ma
Lu Cheng
521
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08 Feb 2024
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
Xurui Li
Ziming Huang
Feng Xue
Yu Zhou
274
51
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30 Jan 2024
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
Shengze Li
Jianjian Cao
Peng Ye
Yuhan Ding
Chongjun Tu
Tao Chen
VLM
349
75
0
23 Jan 2024
Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection
Justin Tebbe
Jawad Tayyub
DiffM
265
16
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09 Jan 2024
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