Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2310.14228
Cited By
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
22 October 2023
Ruiying Lu
YuJie Wu
Long Tian
Dongsheng Wang
Bo Chen
Xiyang Liu
Ruimin Hu
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection"
31 / 31 papers shown
Title
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
Yuqi Cheng
Yunkang Cao
Dongfang Wang
Nong Sang
Wenlong Li
34
1
0
12 May 2025
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
Jiayi Cheng
C. Gao
Jie Zhou
J. Wen
Tao Dai
J. Wang
34
0
0
04 May 2025
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
Zhe Zhang
Mingxiu Cai
Haoran Wang
Gaochang Wu
Tianyou Chai
Xiatian Zhu
29
0
0
02 May 2025
Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation
Shunsuke Sakai
Tatsuhito Hasegawa
31
0
0
08 Apr 2025
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
Afshin Khadangi
Amir Sartipi
Igor Tchappi
Ramin Bahmani
35
0
0
04 Apr 2025
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models
Mirko Borszukovszki
Ivo Pascal de Jong
Matias Valdenegro-Toro
39
0
0
04 Apr 2025
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection
Jiajie Quan
Ao Tong
Yuxuan Cai
Xinwei He
Yunhong Wang
Yang Zhou
54
1
0
27 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
65
0
0
09 Mar 2025
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
Wei Luo
Yunkang Cao
Haiming Yao
Xiaotian Zhang
Jianan Lou
Y. Cheng
Nong Sang
Wenyong Yu
59
2
0
04 Mar 2025
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
Autoencoders for Anomaly Detection are Unreliable
Roel Bouman
Tom Heskes
38
1
0
23 Jan 2025
Towards Accurate Unified Anomaly Segmentation
Wenxin Ma
Qingsong Yao
Xiang Zhang
Zhelong Huang
Zihang Jiang
S. Kevin Zhou
78
1
0
21 Jan 2025
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization
Wei Luo
Haiming Yao
Wenyong Yu
Zhengyong Li
69
12
0
16 Dec 2024
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection
Long Qian
Bingke Zhu
Yingying Chen
Ming Tang
J. T. Wang
85
2
0
30 Nov 2024
ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift
Hossein Kashiani
Niloufar Alipour Talemi
Fatemeh Afghah
87
2
0
25 Nov 2024
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming
Lopamudra Praharaj
Deepti Gupta
Maanak Gupta
85
2
0
22 Nov 2024
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
34
2
0
19 Oct 2024
LADMIM: Logical Anomaly Detection with Masked Image Modeling in Discrete Latent Space
Shunsuke Sakai
Tatushito Hasegawa
Makoto Koshino
25
1
0
14 Oct 2024
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection
Yeonghyeon Park
Sungho Kang
Myung Jin Kim
Hyeong Seok Kim
Juneho Yi
AAML
39
0
0
05 Jul 2024
PixOOD: Pixel-Level Out-of-Distribution Detection
Tomávs Vojívr
Jan Sochman
Jivrí Matas
OODD
46
9
0
30 May 2024
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
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
33
0
0
30 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
66
35
0
09 Apr 2024
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment
Jia Guo
Haonan Han
Shuai Lu
Weihang Zhang
Huiqi Li
30
0
0
31 Mar 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
43
6
0
29 Mar 2024
Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference
Xi Jiang
Ying Chen
Qiang Nie
Jianlin Liu
Yong-Jin Liu
Chengjie Wang
Feng Zheng
50
3
0
21 Mar 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space
Nabarun Goswami
Yusuke Mukuta
Tatsuya Harada
40
3
0
18 Mar 2024
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
Yu Cai
Hao Chen
Kwang-Ting Cheng
MedIm
21
9
0
14 Mar 2024
Continuous Memory Representation for Anomaly Detection
J. Lee
Taejune Kim
Eunbyung Park
Simon S. Woo
Jong Hwan Ko
40
7
0
28 Feb 2024
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Zhikang Liu
Yiming Zhou
Yuansheng Xu
Zilei Wang
75
229
0
27 Mar 2023
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
117
448
0
26 Jan 2022
1