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AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly
  Detection

AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection

29 October 2023
Qihang Zhou
Guansong Pang
Yu Tian
Shibo He
Jiming Chen
    VLM
ArXivPDFHTML

Papers citing "AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection"

50 / 92 papers shown
Title
Vision Foundation Model Embedding-Based Semantic Anomaly Detection
Vision Foundation Model Embedding-Based Semantic Anomaly Detection
M. Ronecker
Matthew Foutter
Amine Elhafsi
Daniele Gammelli
Ihor Barakaiev
Marco Pavone
Daniel Watzenig
16
0
0
12 May 2025
Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models
Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models
Sassan Mokhtar
Arian Mousakhan
Silvio Galesso
Jawad Tayyub
Thomas Brox
22
0
0
05 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
68
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
42
0
0
21 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
35
1
0
17 Apr 2025
3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise
3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise
Yifeng Cheng
Juan Du
17
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
H. Wang
Li Xiong
J. Hu
Hanqi Guo
Wenqiang Zhang
53
0
0
16 Apr 2025
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection
Yuhao Chao
Jie Liu
J. Tang
Gangshan Wu
23
1
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
26
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
21
0
0
09 Apr 2025
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Sara Pohland
Claire Tomlin
DiffM
AAML
41
0
0
07 Apr 2025
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
Afshin Khadangi
Amir Sartipi
Igor Tchappi
Ramin Bahmani
33
1
0
04 Apr 2025
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
Yoon Gyo Jung
Jaewoo Park
Jaeho Yoon
Kuan-Chuan Peng
Wonchul Kim
Andrew Beng Jin Teoh
Octavia Camps
40
0
0
03 Apr 2025
Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector
Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector
Xiao Guo
Xiufeng Song
Yue Zhang
Xiaohong Liu
X. Liu
56
1
0
26 Mar 2025
Towards Training-free Anomaly Detection with Vision and Language Foundation Models
Towards Training-free Anomaly Detection with Vision and Language Foundation Models
Jinjin Zhang
Guodong Wang
Yizhou Jin
Di Huang
42
1
0
24 Mar 2025
Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport
Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport
Hao Tan
Zichang Tan
Jun Yu Li
A. Liu
Jun Wan
Zhen Lei
VLM
49
0
0
19 Mar 2025
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
Zongyun Zhang
Jiacheng Ruan
Xian Gao
Ting Liu
Yuzhuo Fu
64
2
0
18 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
59
0
0
13 Mar 2025
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
Wenxin Ma
Xu Zhang
Qingsong Yao
Fenghe Tang
Chenxu Wu
Y. Li
Rui Yan
Zihang Jiang
S. Kevin Zhou
VLM
52
0
0
09 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Nguyen H K. Do
Truc Nguyen
Malik Hassanaly
Raed Alharbi
Jung Taek Seo
My T. Thai
41
0
0
09 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
43
0
0
09 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
61
0
0
03 Mar 2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
Fuyun Wang
Tong Zhang
Yuanzhi Wang
Yide Qiu
Xin Liu
Xu Guo
Zhen Cui
DiffM
34
0
0
28 Feb 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
J. Li
Zhi Wang
Ke Zhang
AI4CE
76
2
0
26 Feb 2025
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
Xi Jiang
Jian Li
Hanqiu Deng
Y. Liu
Bin-Bin Gao
Yifeng Zhou
Jialin Li
Chengjie Wang
Feng Zheng
50
0
0
24 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Ruiyao Xu
Kaize Ding
50
5
0
17 Feb 2025
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
Jiaxiang Wang
Haote Xu
Xiaolu Chen
Haodi Xu
Yue Huang
Xinghao Ding
Xiaotong Tu
45
0
0
16 Feb 2025
Foundation Models for Anomaly Detection: Vision and Challenges
Foundation Models for Anomaly Detection: Vision and Challenges
Jing Ren
Tao Tang
Hong Jia
Haytham Fayek
Xiaodong Li
Suyu Ma
Xiwei Xu
Feng Xia
53
0
0
10 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
64
0
0
03 Feb 2025
"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection
Siqi Wang
Yuanze Hu
Xinwang Liu
Siwei Wang
G. Wang
Chuanfu Xu
Jie Liu
Ping Chen
DiffM
36
1
0
25 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
30
1
0
08 Jan 2025
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems
Wen-Dong Jiang
Chih-Yung Chang
Hsiang-Chuan Chang
Ji-Yuan Chen
Diptendu Sinha Roy
26
0
0
31 Dec 2024
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Zhifang Zhang
Shuo He
Bingquan Shen
Lei Feng
Lei Feng
AAML
36
0
0
29 Dec 2024
Towards Zero-shot 3D Anomaly Localization
Towards Zero-shot 3D Anomaly Localization
Yizhou Wang
Kuan-Chuan Peng
Y. Fu
65
3
0
05 Dec 2024
Expanding Event Modality Applications through a Robust CLIP-Based Encoder
Expanding Event Modality Applications through a Robust CLIP-Based Encoder
SungHeon Jeong
Hanning Chen
Sanggeon Yun
Suhyeon Cho
Wenjun Huang
Xiangjian Liu
Mohsen Imani
98
1
0
04 Dec 2024
FairDD: Fair Dataset Distillation via Synchronized Matching
FairDD: Fair Dataset Distillation via Synchronized Matching
Qihang Zhou
Shenhao Fang
Shibo He
Wenchao Meng
Jiming Chen
FedML
DD
72
1
0
29 Nov 2024
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
Hui-Yue Yang
Hui Chen
Ao Wang
Kai Chen
Zijia Lin
Yongliang Tang
Pengcheng Gao
Yuming Quan
J. Han
Guiguang Ding
VLM
70
2
0
26 Nov 2024
Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining
Ke Zhang
Zhaoye Zheng
Yurong Guo
Jiacun Wang
Jiyuan Yang
Yangjie Xiao
VLM
77
0
0
18 Nov 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
29
0
0
14 Nov 2024
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot
  Anomaly Detection
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection
Jiyul Ham
Yonggon Jung
Jun-Geol Baek
VLM
26
1
0
09 Nov 2024
A Multimodal Approach For Endoscopic VCE Image Classification Using
  BiomedCLIP-PubMedBERT
A Multimodal Approach For Endoscopic VCE Image Classification Using BiomedCLIP-PubMedBERT
Nagarajan Ganapathy
Podakanti Satyajith Chary
Teja Venkata Ramana Kumar Pithani
Pavan Kavati
Arun Kumar S
21
3
0
25 Oct 2024
IPO: Interpretable Prompt Optimization for Vision-Language Models
IPO: Interpretable Prompt Optimization for Vision-Language Models
Yingjun Du
Wenfang Sun
Cees G. M. Snoek
VLM
20
1
0
20 Oct 2024
SeaS: Few-shot Industrial Anomaly Image Generation with Separation and
  Sharing Fine-tuning
SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning
Zhewei Dai
Shilei Zeng
Haotian Liu
Xurui Li
Feng Xue
Yu Zhou
DiffM
19
1
0
19 Oct 2024
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood
  Prompts
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
Chaoxi Niu
Hezhe Qiao
Changlu Chen
Ling-Hao Chen
Guansong Pang
38
0
0
18 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
23
1
0
14 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
21
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
35
1
0
30 Sep 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives
Deep Graph Anomaly Detection: A Survey and New Perspectives
Hezhe Qiao
Hanghang Tong
Bo An
Irwin King
Charu Aggarwal
Guansong Pang
27
5
0
16 Sep 2024
Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly
  Detection
Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection
Tianwu Lei
Silin Chen
Bohan Wang
Zhengkai Jiang
Ningmu Zou
OOD
21
1
0
09 Sep 2024
Deep Learning for Video Anomaly Detection: A Review
Deep Learning for Video Anomaly Detection: A Review
Peng Wu
Chengyu Pan
Yuting Yan
Guansong Pang
Peng Wang
Yanning Zhang
VLM
AI4TS
37
6
0
09 Sep 2024
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