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. 2104.14535
  4. Cited By
A Hierarchical Transformation-Discriminating Generative Model for Few
  Shot Anomaly Detection

A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection

29 April 2021
Shelly Sheynin
Sagie Benaim
Lior Wolf
ArXivPDFHTML

Papers citing "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

16 / 16 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
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
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning
  and Entropy-based Scoring
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring
Eirini Cholopoulou
D. Iakovidis
AAML
28
0
0
20 Sep 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
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
29
1
0
04 Jul 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
69
8
0
23 May 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
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
Jingyi Liao
Xun Xu
Manh Cuong Nguyen
A. Goodge
Chuan-Sheng Foo
42
9
0
29 Feb 2024
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
Enhancing Few-shot Image Classification with Cosine Transformer
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
27
12
0
13 Nov 2022
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few
  Normal Samples
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples
Jianjian Qin
Chunzhi Gu
Junzhou Yu
Chaoxi Zhang
3DPC
29
12
0
31 Oct 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique
Convolutional Ensembling based Few-Shot Defect Detection Technique
Soumyajit Karmakar
Abeer Banerjee
P. Gidde
Sumeet Saurav
S. Singh
UQCV
30
2
0
05 Aug 2022
Registration based Few-Shot Anomaly Detection
Registration based Few-Shot Anomaly Detection
Chaoqin Huang
Haoyan Guan
Aofan Jiang
Ya Zhang
Michael W. Spratling
Yanfeng Wang
30
142
0
15 Jul 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
24
7
0
23 Apr 2022
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution
  Detection
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection
Nikolaos Dionelis
Mehrdad Yaghoobi
Sotirios A. Tsaftaris
OODD
19
4
0
30 Nov 2021
1