ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.14228
  4. Cited By
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised
  Anomaly Detection

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
ArXivPDFHTML

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
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
Yuqi Cheng
Yunkang Cao
Dongfang Wang
Weiming Shen
Wenlong Li
27
1
0
12 May 2025
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
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
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
Zhe Zhang
Mingxiu Cai
H. 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
Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation
Shunsuke Sakai
Tatsuhito Hasegawa
26
0
0
08 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
0
0
04 Apr 2025
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models
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
34
0
0
04 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
Y. 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
Y. Li
Rui Yan
Zihang Jiang
S. Kevin Zhou
VLM
57
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
Weiming Shen
Wenyong Yu
57
1
0
04 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
Autoencoders for Anomaly Detection are Unreliable
Autoencoders for Anomaly Detection are Unreliable
Roel Bouman
Tom Heskes
38
1
0
23 Jan 2025
Towards Accurate Unified Anomaly Segmentation
Towards Accurate Unified Anomaly Segmentation
Wenxin Ma
Qingsong Yao
Xiang Zhang
Zhelong Huang
Zihang Jiang
S. Kevin Zhou
75
1
0
21 Jan 2025
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly
  Detection and Localization
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization
Wei Luo
Haiming Yao
Wenyong Yu
Zhengyong Li
64
12
0
16 Dec 2024
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection
Long Qian
Bingke Zhu
Yingying Chen
Ming Tang
J. T. Wang
78
2
0
30 Nov 2024
ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain
  Shift
ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift
Hossein Kashiani
Niloufar Alipour Talemi
Fatemeh Afghah
85
2
0
25 Nov 2024
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber
  and Digital Twin Attacks in Cooperative Smart Farming
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming
Lopamudra Praharaj
Deepti Gupta
Maanak Gupta
64
2
0
22 Nov 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
24
1
0
19 Oct 2024
LADMIM: Logical Anomaly Detection with Masked Image Modeling in Discrete
  Latent Space
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
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
34
0
0
05 Jul 2024
PixOOD: Pixel-Level Out-of-Distribution Detection
PixOOD: Pixel-Level Out-of-Distribution Detection
Tomávs Vojívr
Jan Sochman
Jivrí Matas
OODD
30
9
0
30 May 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
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
59
7
0
23 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
19
0
0
30 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
58
33
0
09 Apr 2024
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic
  Distribution Alignment
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment
Jia Guo
Haonan Han
Shuai Lu
Weihang Zhang
Huiqi Li
22
0
0
31 Mar 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
33
6
0
29 Mar 2024
Toward Multi-class Anomaly Detection: Exploring Class-aware Unified
  Model against Inter-class Interference
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
42
3
0
21 Mar 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space
Nabarun Goswami
Yusuke Mukuta
Tatsuya Harada
35
3
0
18 Mar 2024
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical
  Perspective
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
Yu Cai
Hao Chen
Kwang-Ting Cheng
MedIm
9
9
0
14 Mar 2024
Continuous Memory Representation for Anomaly Detection
Continuous Memory Representation for Anomaly Detection
J. Lee
Taejune Kim
Eunbyung Park
Simon S. Woo
Jong Hwan Ko
19
7
0
28 Feb 2024
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Zhikang Liu
Yiming Zhou
Yuansheng Xu
Zilei Wang
68
222
0
27 Mar 2023
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
101
440
0
26 Jan 2022
1