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APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation
  Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on
  Zero-shot AD and 4th Place on Few-shot AD

APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

27 May 2023
Xuhai Chen
Yue Han
Jiangning Zhang
ArXivPDFHTML

Papers citing "APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD"

50 / 66 papers shown
Title
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
GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
Donghyeong Kim
Chaewon Park
Suhwan Cho
Hyeonjeong Lim
Minseok Kang
Jungho Lee
Sangyoun Lee
VLM
54
0
0
21 Apr 2025
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
Wenbing Zhu
Lidong Wang
Ziqing Zhou
Chengjie Wang
Yurui Pan
...
Yulong Chen
Shuguang Qian
M. Chi
Bo Peng
Lizhuang Ma
31
1
0
19 Apr 2025
LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection
LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection
Weijia Li
Guanglei Chu
Jiong Chen
Guo-Sen Xie
Caifeng Shan
Fang Zhao
LRM
42
1
0
17 Apr 2025
Search is All You Need for Few-shot Anomaly Detection
Search is All You Need for Few-shot Anomaly Detection
Qishan Wang
Jia Guo
Shuyong Gao
Han Wang
Li Xiong
J. Hu
Hanqi Guo
Wenqiang Zhang
60
0
0
16 Apr 2025
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections
Alireza Salehi
Mohammadreza Salehi
Reshad Hosseini
Cees G. M. Snoek
Makoto Yamada
Mohammad Sabokrou
VLM
38
0
0
15 Apr 2025
MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning
MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning
Ylli Sadikaj
Hongkuan Zhou
Lavdim Halilaj
Stefan Schmid
Steffen Staab
Claudia Plant
28
0
0
09 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
49
0
0
30 Mar 2025
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection
Zhen Qu
Xian Tao
Xinyi Gong
Shichen Qu
Qiyu Chen
Zhengtao Zhang
Xingang Wang
Guiguang Ding
VLM
66
0
0
13 Mar 2025
Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point
Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point
Travis Barrett
Amit Kumar Mishra
47
1
0
09 Mar 2025
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
Wenxin Ma
Xu Zhang
Qingsong Yao
Fenghe Tang
Chenxu Wu
Heng Chang
Rui Yan
Zihang Jiang
S. Kevin Zhou
VLM
67
0
0
09 Mar 2025
Language-Assisted Feature Transformation for Anomaly Detection
EungGu Yun
Heonjin Ha
Yeongwoo Nam
Bryan Dongik Lee
70
0
0
03 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
74
0
0
03 Mar 2025
A Survey on Foundation-Model-Based Industrial Defect Detection
A Survey on Foundation-Model-Based Industrial Defect Detection
Tianle Yang
Luyao Chang
Jiadong Yan
Jiajian Li
Zhi Wang
Ke Zhang
AI4CE
94
2
0
26 Feb 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
86
0
0
03 Feb 2025
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection
Yuanze Li
Haolin Wang
Shihao Yuan
Ming-Yu Liu
Debin Zhao
Yiwen Guo
Chen Xu
Guangming Shi
Wangmeng Zuo
89
30
0
20 Jan 2025
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration
Chengyuan Li
Suyang Zhou
Jieping Kong
Lei Qi
Hui Xue
VLM
50
2
0
08 Jan 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
49
2
0
23 Dec 2024
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are
  We There Yet?
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?
Aldo Marzullo
Marta Bianca Maria Ranzini
MedIm
UQCV
VLM
36
0
0
14 Nov 2024
ResAD: A Simple Framework for Class Generalizable Anomaly Detection
ResAD: A Simple Framework for Class Generalizable Anomaly Detection
Xincheng Yao
Z. Chen
Chao Gao
Guangtao Zhai
Chongyang Zhang
34
0
0
26 Oct 2024
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot
  3D Anomaly Detection
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
Qihang Zhou
Jiangtao Yan
Shibo He
Wenchao Meng
Jiming Chen
3DPC
60
6
0
01 Oct 2024
VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot
  Anomaly Detection
VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection
Huilin Deng
Hongchen Luo
Wei Zhai
Yang Cao
Yu Kang
41
2
0
30 Sep 2024
Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection
  Framework
Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework
Yuqi Cheng
Yunkang Cao
Guoyang Xie
Zhichao Lu
Weiming Shen
3DPC
36
3
0
20 Sep 2024
FADE: Few-shot/zero-shot Anomaly Detection Engine using Large
  Vision-Language Model
FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model
Yuanwei Li
Elizaveta Ivanova
Martins Bruveris
VLM
36
1
0
31 Aug 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language
  Model Era: A Survey
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
55
10
0
31 Jul 2024
Small Object Few-shot Segmentation for Vision-based Industrial
  Inspection
Small Object Few-shot Segmentation for Vision-based Industrial Inspection
Zilong Zhang
Chang Niu
Yi Lin
Jingchi Jiang
Xuefeng Chen
49
1
0
31 Jul 2024
Normality Addition via Normality Detection in Industrial Image Anomaly
  Detection Models
Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models
Jihun Yi
Dahuin Jung
Sungroh Yoon
39
0
0
29 Jul 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
Weiming Shen
Giacomo Boracchi
VLM
58
29
0
22 Jul 2024
VCP-CLIP: A visual context prompting model for zero-shot anomaly
  segmentation
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
41
11
0
17 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
29
1
0
04 Jul 2024
Enhancing Anomaly Detection Generalization through Knowledge Exposure:
  The Dual Effects of Augmentation
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
Mohammad Akhavan Anvari
Rojina Kashefi
Vahid Reza Khazaie
Mohammad Khalooei
Mohammad Sabokrou
50
0
0
15 Jun 2024
GLAD: Towards Better Reconstruction with Global and Local Adaptive
  Diffusion Models for Unsupervised Anomaly Detection
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection
Hang Yao
Ming-Yu Liu
Haolin Wang
Zhicun Yin
Zifei Yan
Xiaopeng Hong
W. Zuo
50
15
0
11 Jun 2024
Global-Regularized Neighborhood Regression for Efficient Zero-Shot
  Texture Anomaly Detection
Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection
Haiming Yao
Wei Luo
Yunkang Cao
Yiheng Zhang
Wenyong Yu
Weiming Shen
36
1
0
11 Jun 2024
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image
  Anomaly Detection
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection
Yuqi Cheng
Yunkang Cao
Rui Chen
Weiming Shen
43
3
0
11 Jun 2024
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via
  Multimodal Denoising
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising
Chengjie Wang
Haokun Zhu
Jinlong Peng
Yue Wang
Ran Yi
Yunsheng Wu
Lizhuang Ma
Jiangning Zhang
70
5
0
04 Jun 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
Simon Damm
M. Laszkiewicz
Johannes Lederer
Asja Fischer
59
4
0
23 May 2024
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
Ximiao Zhang
Min Xu
Dehui Qiu
Ruixin Yan
Ning Lang
Xiuzhuang Zhou
VLM
MedIm
31
6
0
18 May 2024
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and
  High-Quality Localization
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization
Zhaopeng Gu
Bingke Zhu
Guibo Zhu
Yingying Chen
Hao Li
Ming Tang
Jinqiao Wang
44
15
0
21 Apr 2024
Blind Localization and Clustering of Anomalies in Textures
Blind Localization and Clustering of Anomalies in Textures
Andrei-Timotei Ardelean
Tim Weyrich
32
2
0
18 Apr 2024
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
Jiaqi Zhu
Shaofeng Cai
Fang Deng
Junran Wu
Junran Wu
70
15
0
15 Apr 2024
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly
  Detection
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
Xiaofan Li
Zhizhong Zhang
Xin Tan
Chengwei Chen
Yanyun Qu
Yuan Xie
Lizhuang Ma
VLM
63
36
0
08 Apr 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
48
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
55
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 Zhang
Xinchao Wang
Yanfeng Wang
MedIm
45
25
0
19 Mar 2024
Anomaly Detection by Adapting a pre-trained Vision Language Model
Anomaly Detection by Adapting a pre-trained Vision Language Model
Yuxuan Cai
Xinwei He
Dingkang Liang
Ao Tong
Xiang Bai
VLM
32
1
0
14 Mar 2024
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with
  Mutual Scoring of the Unlabeled Images
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
Xurui Li
Ziming Huang
Feng Xue
Yu Zhou
27
20
0
30 Jan 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
Weiming Shen
83
41
0
29 Jan 2024
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
Shengze Li
Jianjian Cao
Peng Ye
Yuhan Ding
Chongjun Tu
Tao Chen
VLM
29
31
0
23 Jan 2024
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly
  Detection
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection
Jiangning Zhang
Xuhai Chen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
Ming-Hsuan Yang
Dacheng Tao
33
24
0
12 Dec 2023
CLIP in Medical Imaging: A Comprehensive Survey
CLIP in Medical Imaging: A Comprehensive Survey
Zihao Zhao
Yuxiao Liu
Han Wu
Yonghao Li
Sheng Wang
L. Teng
Disheng Liu
Zhiming Cui
Qian Wang
Dinggang Shen
CLIP
MedIm
LM&MA
VLM
41
4
0
12 Dec 2023
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