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Deep One-Class Classification via Interpolated Gaussian Descriptor

Deep One-Class Classification via Interpolated Gaussian Descriptor

25 January 2021
Yuanhong Chen
Yu Tian
Guansong Pang
G. Carneiro
    VLM
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Papers citing "Deep One-Class Classification via Interpolated Gaussian Descriptor"

49 / 49 papers shown
Title
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Bin-Bin Gao
VLM
22
0
0
14 May 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
46
0
0
03 Apr 2025
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Aimira Baitieva
Yacine Bouaouni
Alexandre Briot
Dick Ameln
Souhaiel Khalfaoui
S. Akçay
44
0
0
30 Mar 2025
Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift
Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift
Jingyi Liao
Xun Xu
Yongyi Su
Rong-Cheng Tu
Y. Liu
Dacheng Tao
Xulei Yang
OOD
65
1
0
19 Mar 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
Chengjie Wang
Xi Jiang
Bin-Bin Gao
Zhenye Gan
Y. Liu
Feng Zheng
Lizhuang Ma
UQCV
46
1
0
30 Dec 2024
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly
  Detection
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
Qiyu Chen
Huiyuan Luo
Han Gao
Chengkan Lv
Zhengtao Zhang
46
4
0
23 Dec 2024
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy
  Training Data
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
Jiin Im
Yongho Son
Je Hyeong Hong
AAML
73
1
0
25 Nov 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
28
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
45
6
0
01 Oct 2024
Weakly Supervised Video Anomaly Detection and Localization with
  Spatio-Temporal Prompts
Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts
Peng Wu
Xuerong Zhou
Guansong Pang
Zhiwei Yang
Qingsen Yan
Peng Wang
Yanning Zhang
28
9
0
12 Aug 2024
Spatial-aware Attention Generative Adversarial Network for
  Semi-supervised Anomaly Detection in Medical Image
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
Zerui Zhang
Zhichao Sun
Zelong Liu
Bo Du
Rui Yu
Zhou Zhao
Yongchao Xu
GAN
MedIm
41
3
0
21 May 2024
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
Zhichao Sun
Yuliang Gu
Yepeng Liu
Zerui Zhang
Zhou Zhao
Yongchao Xu
MedIm
87
2
0
20 May 2024
Critical Review for One-class Classification: recent advances and the
  reality behind them
Critical Review for One-class Classification: recent advances and the reality behind them
Toshitaka Hayashi
Dalibor Cimr
Hamido Fujita
R. Cimler
45
1
0
27 Apr 2024
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang
Ying Chen
Qiang Nie
Y. Liu
Jianlin Liu
Jinbao Wang
WU Kai
Chengjie Wang
Feng Zheng
126
60
0
21 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
44
3
0
21 Mar 2024
Exploiting Structural Consistency of Chest Anatomy for Unsupervised
  Anomaly Detection in Radiography Images
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Alan L. Yuille
Chaoyi Zhang
Weidong Cai
Zongwei Zhou
31
3
0
13 Mar 2024
Toward Generalist Anomaly Detection via In-context Residual Learning
  with Few-shot Sample Prompts
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
Jiawen Zhu
Guansong Pang
VLM
58
35
0
11 Mar 2024
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with
  Mutual Scoring of the Unlabeled Images
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
Xurui Li
Ziming Huang
Feng Xue
Yu Zhou
20
20
0
30 Jan 2024
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
Yunkang Cao
Xiaohao Xu
Jiangning Zhang
Yuqi Cheng
Xiaonan Huang
Guansong Pang
Weiming Shen
83
41
0
29 Jan 2024
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation
  Including the Unseen
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen
Hao Zhang
Fang Li
Lu Qi
Ming-Hsuan Yang
Narendra Ahuja
44
11
0
09 Dec 2023
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly
  Detection
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Qihang Zhou
Guansong Pang
Yu Tian
Shibo He
Jiming Chen
VLM
31
122
0
29 Oct 2023
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Jiawen Zhu
Choubo Ding
Yu Tian
Guansong Pang
40
12
0
19 Oct 2023
Exploring the Optimization Objective of One-Class Classification for
  Anomaly Detection
Exploring the Optimization Objective of One-Class Classification for Anomaly Detection
Han Gao
Huiyuan Luo
Fei Shen
Zheng-Wei Zhang
13
0
0
23 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
37
17
0
13 Aug 2023
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution
  Anomaly Detection in Chest X-Rays
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays
Behzad Bozorgtabar
Dwarikanath Mahapatra
Jean-Philippe Thiran
MedIm
23
10
0
24 Jul 2023
Restricted Generative Projection for One-Class Classification and
  Anomaly Detection
Restricted Generative Projection for One-Class Classification and Anomaly Detection
F. Xiao
Ruoyu Sun
Jicong Fan
UQCV
29
2
0
09 Jul 2023
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering
Jie M. Zhang
Masanori Suganuma
Takayuki Okatani
37
3
0
06 Jul 2023
Feasibility of Universal Anomaly Detection without Knowing the
  Abnormality in Medical Images
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
C. Cui
Yaohong Wang
Shunxing Bao
Yucheng Tang
Ruining Deng
...
Qi Liu
Lori A. Coburn
K. Wilson
Bennett A. Landman
Yuankai Huo
OOD
31
0
0
03 Jul 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
26
3
0
26 Jun 2023
SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection
SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection
Jianan Ye
Yijie Hu
Xi Yang
Qiufeng Wang
Chao Huang
Kaizhu Huang
18
5
0
14 Jun 2023
Rethinking Polyp Segmentation from an Out-of-Distribution Perspective
Rethinking Polyp Segmentation from an Out-of-Distribution Perspective
Ge-Peng Ji
Jing Zhang
Dylan Campbell
Huan Xiong
Nick Barnes
33
6
0
13 Jun 2023
Industrial Anomaly Detection and Localization Using Weakly-Supervised
  Residual Transformers
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
36
4
0
06 Jun 2023
Semantic Role Labeling Guided Out-of-distribution Detection
Semantic Role Labeling Guided Out-of-distribution Detection
Jinan Zou
Maihao Guo
Yu Tian
Yuhao Lin
Hai Cao
Lingqiao Liu
Ehsan Abbasnejad
Javen Qinfeng Shi
OODD
23
1
0
29 May 2023
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
75
229
0
27 Mar 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution Shift
T. Cao
Jiawen Zhu
Guansong Pang
45
26
0
24 Mar 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection
Deep Orthogonal Hypersphere Compression for Anomaly Detection
Yunhe Zhang
Yan Sun
Jinyu Cai
Jicong Fan
38
10
0
13 Feb 2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
Guoyang Xie
Jinbao Wang
Jiaqi Liu
Jiayi Lyu
Y. Liu
Chengjie Wang
Feng Zheng
Yaochu Jin
VLM
27
65
0
31 Jan 2023
FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks
FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks
Niamh Belton
Misgina Tsighe Hagos
Aonghus Lawlor
Kathleen M. Curran
20
14
0
17 Jan 2023
Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
22
45
0
09 Oct 2022
Perturbation Learning Based Anomaly Detection
Perturbation Learning Based Anomaly Detection
Jinyu Cai
Jicong Fan
AAML
15
25
0
06 Jun 2022
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest
  Radiographs
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs
Junya Sato
Yuki Suzuki
T. Wataya
Daiki Nishigaki
Kosuke Kita
Kazuki Yamagata
Noriyuki Tomiyama
Shoji Kido
18
14
0
09 May 2022
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial
  Images
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
Yajie Cui
Zhaoxiang Liu
Shiguo Lian
OOD
DRL
41
43
0
24 Apr 2022
Discriminative Feature Learning Framework with Gradient Preference for
  Anomaly Detection
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
Muhao Xu
Xueying Zhou
Xizhan Gao
Wei-Xiong He
Sijie Niu
18
7
0
23 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
16
112
0
28 Mar 2022
Contrastive Transformer-based Multiple Instance Learning for Weakly
  Supervised Polyp Frame Detection
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection
Yu Tian
Guansong Pang
Fengbei Liu
Yuyuan Liu
Chong Wang
Yuanhong Chen
Johan W. Verjans
G. Carneiro
ViT
MedIm
32
25
0
23 Mar 2022
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented
  Multi-level Cross-attentional Masked Autoencoder
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder
Yu Tian
Guansong Pang
Yuyuan Liu
Chong Wang
Yuanhong Chen
Fengbei Liu
Rajvinder Singh
Johan W. Verjans
Mengyu Wang
G. Carneiro
ViT
25
24
0
22 Mar 2022
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Alan Yuille
Chaoyi Zhang
Weidong (Tom) Cai
Zongwei Zhou
UQCV
26
39
0
26 Nov 2021
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on
  Complex Urban Driving Scenes
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
Yu Tian
Yuyuan Liu
Guansong Pang
Fengbei Liu
Yuanhong Chen
G. Carneiro
16
84
0
24 Nov 2021
Deep Weakly-supervised Anomaly Detection
Deep Weakly-supervised Anomaly Detection
Guansong Pang
Chunhua Shen
Huidong Jin
Anton van den Hengel
22
90
0
30 Oct 2019
1