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Uninformed Students: Student-Teacher Anomaly Detection with
  Discriminative Latent Embeddings

Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings

6 November 2019
Paul Bergmann
Michael Fauser
David Sattlegger
C. Steger
ArXivPDFHTML

Papers citing "Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings"

50 / 114 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
Wenbo Zhang
Meng Wang
Jun Liu
Yong-Jin 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
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Bin-Bin Gao
37
4
0
14 May 2025
Differentiable NMS via Sinkhorn Matching for End-to-End Fabric Defect Detection
Differentiable NMS via Sinkhorn Matching for End-to-End Fabric Defect Detection
Zhengyang Lu
Bingjie Lu
Weifan Wang
Feng Wang
36
0
0
11 May 2025
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Hanzhe Liang
Aoran Wang
Jie Zhou
Xin Jin
C. Gao
Jinbao Wang
26
0
0
09 May 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
26
1
0
19 Apr 2025
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection
Jiajie Quan
Ao Tong
Yuxuan Cai
Xinwei He
Yanjie Wang
Yang Zhou
58
1
0
27 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
70
2
0
18 Mar 2025
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
Paul J. Krassnig
Dieter P. Gruber
172
0
0
06 Mar 2025
One-for-More: Continual Diffusion Model for Anomaly Detection
One-for-More: Continual Diffusion Model for Anomaly Detection
Xiaofan Li
Xin Tan
Zhuo Chen
Zhizhong Zhang
Ruixin Zhang
...
Guanna Jiang
Yulong Chen
Yanyun Qu
Lizhuang Ma
Yuan Xie
DiffM
58
1
0
27 Feb 2025
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
Yun Peng
Xiao Lin
Nachuan Ma
Jiayuan Du
Chuangwei Liu
Chengju Liu
Qi Chen
46
3
0
17 Feb 2025
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
Qisen Cheng
Shuhui Qu
Janghwan Lee
53
4
0
17 Jan 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
Chengjie Wang
Xi Jiang
Bin-Bin Gao
Zhenye Gan
Yong-Jin Liu
Feng Zheng
Lizhuang Ma
UQCV
49
1
0
30 Dec 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
41
1
0
09 Nov 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
Towards Open-World Object-based Anomaly Detection via Self-Supervised
  Outlier Synthesis
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
Brian K. S. Isaac-Medina
Yona Falinie A. Gaus
Neelanjan Bhowmik
T. Breckon
28
2
0
22 Jul 2024
Looking for Tiny Defects via Forward-Backward Feature Transfer
Looking for Tiny Defects via Forward-Backward Feature Transfer
Alex Costanzino
Pierluigi Zama Ramirez
Giuseppe Lisanti
Luigi Di Stefano
42
0
0
04 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
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis
Subin Varghese
Vedhus Hoskere
44
0
0
26 Jun 2024
Prior Normality Prompt Transformer for Multi-class Industrial Image
  Anomaly Detection
Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection
Haiming Yao
Yunkang Cao
Wei Luo
Weihang Zhang
Wenyong Yu
Nong Sang
35
7
0
17 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
45
15
0
11 Jun 2024
Fractals as Pre-training Datasets for Anomaly Detection and Localization
Fractals as Pre-training Datasets for Anomaly Detection and Localization
C. Ugwu
S. Casarin
Oswald Lanz
32
0
0
11 May 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
Junzhuo Chen
Shitong Kang
39
0
0
10 May 2024
Feature Purified Transformer With Cross-level Feature Guiding Decoder
  For Multi-class OOD and Anomaly Deteciton
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
39
0
0
30 Apr 2024
IPAD: Industrial Process Anomaly Detection Dataset
IPAD: Industrial Process Anomaly Detection Dataset
Jinfan Liu
Yichao Yan
Junjie Li
Weiming Zhao
Pengzhi Chu
Xingdong Sheng
Yunhui Liu
Xiaokang Yang
40
0
0
23 Apr 2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
Haoyang He
Yuhu Bai
Jiangning Zhang
Qingdong He
Hongxu Chen
Zhenye Gan
Chengjie Wang
Xiangtai Li
Guanzhong Tian
Lei Xie
Mamba
66
35
0
09 Apr 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
Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning
Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning
Xiaohao Xu
Yunkang Cao
Huaxin Zhang
Nong Sang
Xiaonan Huang
VLM
69
10
0
17 Mar 2024
Open-World Semantic Segmentation Including Class Similarity
Open-World Semantic Segmentation Including Class Similarity
Matteo Sodano
Federico Magistri
Lucas Nunes
Jens Behley
C. Stachniss
VLM
42
8
0
12 Mar 2024
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly
  for Anomaly Detection
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Ximiao Zhang
Min Xu
Xiuzhuang Zhou
54
47
0
09 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
41
2
0
07 Mar 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
50
2
0
29 Feb 2024
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI
  Teams
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams
Shahroz Tariq
Mohan Baruwal Chhetri
Surya Nepal
Cécile Paris
40
6
0
25 Jan 2024
Few Shot Part Segmentation Reveals Compositional Logic for Industrial
  Anomaly Detection
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Soopil Kim
Sion An
Philip Chikontwe
Myeongkyun Kang
Ehsan Adeli
K. Pohl
Sanghyun Park
21
17
0
21 Dec 2023
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
Alex Costanzino
Pierluigi Zama Ramirez
Giuseppe Lisanti
Luigi Di Stefano
19
10
0
07 Dec 2023
Identifying the Defective: Detecting Damaged Grains for Cereal
  Appearance Inspection
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection
Lei Fan
Yiwen Ding
Dongdong Fan
Yong Wu
M. Pagnucco
Yang Song
34
5
0
20 Nov 2023
SCL-VI: Self-supervised Context Learning for Visual Inspection of
  Industrial Defects
SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects
Peng Wang
Haiming Yao
Wenyong Yu
8
3
0
11 Nov 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
Qiang Zhou
Weize Li
Lihan Jiang
Guoliang Wang
Guyue Zhou
Shanghang Zhang
Hao Zhao
32
30
0
11 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
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for
  Unsupervised Medical Anomaly Detection
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection
Yiming Huang
Guo-Shuai Liu
Yaoru Luo
Ge Yang
OOD
MedIm
24
2
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
Teacher-Student Architecture for Knowledge Distillation: A Survey
Teacher-Student Architecture for Knowledge Distillation: A Survey
Chengming Hu
Xuan Li
Danyang Liu
Haolun Wu
Xi Chen
Ju Wang
Xue Liu
21
16
0
08 Aug 2023
Local and Global Information in Obstacle Detection on Railway Tracks
Local and Global Information in Obstacle Detection on Railway Tracks
Matthias Brucker
Andrei Cramariuc
Cornelius von Einem
Roland Siegwart
Cesar Cadena
22
8
0
28 Jul 2023
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly
  Detection
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection
Yujin Lee
Harin Lim
Seoyoon Jang
H. Yoon
32
4
0
24 Jul 2023
Contextual Affinity Distillation for Image Anomaly Detection
Contextual Affinity Distillation for Image Anomaly Detection
Jie Zhang
Masanori Suganuma
Takayuki Okatani
42
14
0
06 Jul 2023
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly
  Detectors
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
Nicolae-Cătălin Ristea
Florinel-Alin Croitoru
Radu Tudor Ionescu
Marius Popescu
Fahad Shahbaz Khan
M. Shah
ViT
26
20
0
21 Jun 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
Component-aware anomaly detection framework for adjustable and logical
  industrial visual inspection
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection
Tongkun Liu
Bing Li
Xiao Du
Bingke Jiang
Xiao Jin
Liuyi Jin
Zhu Zhao
32
27
0
15 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
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