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Registration based Few-Shot Anomaly Detection

Registration based Few-Shot Anomaly Detection

15 July 2022
Chaoqin Huang
Haoyan Guan
Aofan Jiang
Ya-Qin Zhang
Michael W. Spratling
Yanfeng Wang
ArXivPDFHTML

Papers citing "Registration based Few-Shot Anomaly Detection"

29 / 29 papers shown
Title
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
Weixi Zhang
Meng Wang
Jun Liu
Yong Liu
Lei Wang
Chengjie Wang
VLM
41
0
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
25
0
0
14 May 2025
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning
Peijian Zeng
Feiyan Pang
Zhanbo Wang
Aimin Yang
74
0
0
28 Apr 2025
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
Yiyue Li
Shaoting Zhang
Kang Li
Qicheng Lao
79
0
0
03 Feb 2025
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
Fenfang Tao
G. Xie
Fang Zhao
Xiangbo Shu
44
2
0
23 Dec 2024
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning
  and Entropy-based Scoring
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring
Eirini Cholopoulou
D. Iakovidis
AAML
28
0
0
20 Sep 2024
Towards Generalizable Scene Change Detection
Towards Generalizable Scene Change Detection
Jaewoo Kim
Uehwan Kim
50
0
0
10 Sep 2024
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Tingfeng Huang
Yuxuan Cheng
Jingbo Xia
Rui Yu
Yuxuan Cai
Jinhai Xiang
Xinwei He
AAML
69
0
0
14 Aug 2024
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion
  Model
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model
Zhenyu Yan
Qingqing Fang
Wenxi Lv
Qinliang Su
DiffM
37
0
0
04 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
53
29
0
22 Jul 2024
SOWA: Adapting Hierarchical Frozen Window Self-Attention to
  Visual-Language Models for Better Anomaly Detection
SOWA: Adapting Hierarchical Frozen Window Self-Attention to Visual-Language Models for Better Anomaly Detection
Zongxiang Hu
Zhaosheng Zhang
VLM
27
1
0
04 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
60
0
0
28 Jun 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Jia Guo
Shuai Lu
Weihang Zhang
Huiqi Li
Huiqi Li
Hongen Liao
ViT
69
8
0
23 May 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
43
6
0
29 Mar 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile
  Industrial Anomaly Detection
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
50
46
0
19 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-Qin Zhang
Xinchao Wang
Yanfeng Wang
MedIm
45
25
0
19 Mar 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
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
39
2
0
07 Mar 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
Jingyi Liao
Xun Xu
Manh Cuong Nguyen
A. Goodge
Chuan-Sheng Foo
42
9
0
29 Feb 2024
Combating Representation Learning Disparity with Geometric Harmonization
Combating Representation Learning Disparity with Geometric Harmonization
Zhihan Zhou
Jiangchao Yao
Feng Hong
Ya-Qin Zhang
Bo Han
Yanfeng Wang
30
12
0
26 Oct 2023
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot
  Anomaly Localization
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
Hanqiu Deng
Zhaoxiang Zhang
Jinan Bao
Xingyu Li
VLM
30
4
0
30 Aug 2023
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language
  Models
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Zhaopeng Gu
Bingke Zhu
Guibo Zhu
Yingying Chen
Ming Tang
Jinqiao Wang
VLM
MLLM
25
100
0
29 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 Retrieval
Hanxi Li
Jianfei Hu
Bo-wen Li
Hao Chen
Yongbin Zheng
Chunhua Shen
40
17
0
13 Aug 2023
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Yunkang Cao
Xiaohao Xu
Chen Sun
Y. Cheng
Zongwei Du
Liang Gao
Nong Sang
VLM
37
70
0
18 May 2023
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature
  Correspondence Analysis
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis
Andrei-Timotei Ardelean
Tim Weyrich
42
4
0
13 Apr 2023
Diversity-Measurable Anomaly Detection
Diversity-Measurable Anomaly Detection
Wenrui Liu
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
32
56
0
09 Mar 2023
Self-Supervised Masking for Unsupervised Anomaly Detection and
  Localization
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
Chaoqin Huang
Qinwei Xu
Yanfeng Wang
Yu Wang
Ya-Qin Zhang
37
66
0
13 May 2022
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
219
322
0
16 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
350
11,684
0
09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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