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2211.11317
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DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Computer Vision and Pattern Recognition (CVPR), 2022
21 November 2022
Xuan Zhang
Shiyu Li
Xi Li
Ping Huang
Jiulong Shan
Ting Chen
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Papers citing
"DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection"
50 / 103 papers shown
Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection
Asian Conference on Computer Vision (ACCV), 2024
Mohammadreza Salehi
Nikolaos Apostolikas
E. Gavves
Cees G. M. Snoek
Yuki M. Asano
ObjD
361
0
0
15 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
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Jiin Im
Yongho Son
Je Hyeong Hong
AAML
295
7
0
25 Nov 2024
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Anindya Sundar Das
Guansong Pang
M. Bhuyan
279
3
0
14 Nov 2024
SPACE: SPAtial-aware Consistency rEgularization for anomaly detection in Industrial applications
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Daehwan Kim
Hyungmin Kim
Daun Jeong
Sungho Suh
Hansang Cho
269
1
0
05 Nov 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
DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection
Kecen Li
Bingquan Dai
Jingjing Fu
Xinwen Hou
259
4
0
13 Oct 2024
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Yi Gu
Yi Lin
Kwang-Ting Cheng
Hao Chen
UQCV
252
5
0
26 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
Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume
PLOS Digital Health (PDH), 2024
Zeduo Zhang
Yalda Mohsenzadeh
MedIm
209
1
0
28 Aug 2024
AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal Samples
Yujin Lee
Seoyoon Jang
Hyunsoo Yoon
190
2
0
24 Aug 2024
Not All Regions Are Equal: Attention-Guided Perturbation Network for Industrial Anomaly Detection
Tingfeng Huang
Yuxuan Cheng
Yuxuan Cheng
Jingbo Xia
Rui Yu
Jinhai Xiang
Xinwei He
AAML
433
0
0
14 Aug 2024
Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection
ACM Multimedia (MM), 2024
Xinyue Liu
Jianyuan Wang
Biao Leng
Shuo Zhang
222
22
0
07 Aug 2024
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection
International Conference on Pattern Recognition (ICPR), 2024
Blaž Rolih
Matic Fučka
Danijel Skočaj
268
17
0
06 Aug 2024
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features
Luc P.J. Strater
Mohammadreza Salehi
E. Gavves
Cees G. M. Snoek
Yuki M. Asano
206
27
0
17 Jul 2024
Learning Multi-view Anomaly Detection with Efficient Adaptive Selection
Haoyang He
Jiangning Zhang
Guanzhong Tian
Chengjie Wang
Lei Xie
302
3
0
16 Jul 2024
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
Qiyu Chen
Huiyuan Luo
Chengkan Lv
Zhengtao Zhang
276
72
0
12 Jul 2024
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
Hanxi Li
Jingqi Wu
Lin Yuanbo Wu
Hao Chen
Deyin Liu
Chunhua Shen
234
1
0
03 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
From Zero to Hero: Cold-Start Anomaly Detection
Tal Reiss
George Kour
Naama Zwerdling
Ateret Anaby-Tavor
Yedid Hoshen
291
4
0
30 May 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
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection
Feng Wang
Chengming Liu
Lei Shi
Haibo Pang
377
4
0
16 May 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
Junzhuo Chen
Shitong Kang
321
0
0
10 May 2024
DDPM-MoCo: Advancing Industrial Surface Defect Generation and Detection with Generative and Contrastive Learning
Yangfan He
Xinyan Wang
Tianyu Shi
280
14
0
09 May 2024
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection
Canhui Tang
Sanpin Zhou
Yizhe Li
Yonghao Dong
Le Wang
197
2
0
03 May 2024
Improved AutoEncoder with LSTM module and KL divergence
Wei Huang
Bingyang Zhang
Kaituo Zhang
Hua Gao
Rongchun Wan
167
5
0
30 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
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
Jiaqi Zhu
Shaofeng Cai
Fang Deng
Junran Wu
Junran Wu
459
37
0
15 Apr 2024
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
399
112
0
09 Apr 2024
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
326
99
0
08 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
296
18
0
29 Mar 2024
Few-shot Online Anomaly Detection and Segmentation
Shenxing Wei
Xing Wei
Zhiheng Ma
Songlin Dong
Shaochen Zhang
Yihong Gong
308
14
0
27 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
Open-World Semantic Segmentation Including Class Similarity
Computer Vision and Pattern Recognition (CVPR), 2024
Matteo Sodano
Federico Magistri
Lucas Nunes
Jens Behley
C. Stachniss
VLM
216
19
0
12 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
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 SAM-guided Two-stream Lightweight Model for Anomaly Detection
Chenghao Li
Lei Qi
Xin Geng
230
17
0
29 Feb 2024
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance
João P C Bertoldo
Dick Ameln
Ashwin Vaidya
Samet Akccay
265
4
0
03 Jan 2024
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
271
44
0
12 Dec 2023
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection
European Conference on Artificial Intelligence (ECAI), 2023
Lei Fan
Yiwen Ding
Dongdong Fan
Yong Wu
Maurice Pagnucco
Yang Song
165
10
0
20 Nov 2023
TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
Matic Fucka
Vitjan Zavrtanik
D. Skočaj
MedIm
DiffM
344
36
0
16 Nov 2023
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Jiawen Zhu
Choubo Ding
Yu Tian
Guansong Pang
430
33
0
19 Oct 2023
STARS: Zero-shot Sim-to-Real Transfer for Segmentation of Shipwrecks in Sonar Imagery
British Machine Vision Conference (BMVC), 2023
A. Sethuraman
Katherine A. Skinner
212
7
0
02 Oct 2023
REB: Reducing Biases in Representation for Industrial Anomaly Detection
Knowledge-Based Systems (KBS), 2023
Shuai Lyu
Dongmei Mo
W. Wong
310
27
0
24 Aug 2023
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
IEEE Transactions on Image Processing (IEEE TIP), 2023
Hanxi Li
Jianfei Hu
Yue Liu
Hao Chen
Yongbin Zheng
Chunhua Shen
214
39
0
13 Aug 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
408
3
0
26 Jun 2023
No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection
Tal Reiss
Niv Cohen
Yedid Hoshen
UQCV
256
7
0
12 Jun 2023
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers
Hanxi Li
Jing Wu
Lin Yuanbo Wu
Hao Chen
Deyin Liu
Mingwen Wang
Peng Wang
ViT
389
4
0
06 Jun 2023
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Jeeho Hyun
Sangyun Kim
Giyoung Jeon
Seung Hwan Kim
Kyunghoon Bae
Byungjin Kang
UQCV
368
71
0
26 May 2023
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