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Encoding Structure-Texture Relation with P-Net for Anomaly Detection in
  Retinal Images

Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images

9 August 2020
Kang Zhou
Yuting Xiao
Jianlong Yang
Jun Cheng
Wen Liu
Weixin Luo
Zaiwang Gu
Jiang-Dong Liu
Shenghua Gao
    MedIm
ArXivPDFHTML

Papers citing "Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images"

18 / 18 papers shown
Title
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Nguyen H K. Do
Truc Nguyen
Malik Hassanaly
Raed Alharbi
Jung Taek Seo
My T. Thai
54
0
0
09 Mar 2025
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
Yiyue Li
Shaoting Zhang
Kang Li
Qicheng Lao
72
0
0
03 Feb 2025
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Tingfeng Huang
Yuxuan Cheng
Jingbo Xia
Rui Yu
Yuxuan Cai
Jinhai Xiang
Xinwei He
AAML
66
0
0
14 Aug 2024
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
Daniel Bogdoll
Noël Ollick
Tim Joseph
J. Marius Zöllner
34
1
0
10 Jun 2024
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
Jiaqi Zhu
Shaofeng Cai
Fang Deng
Junran Wu
Junran Wu
52
15
0
15 Apr 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-Qin Zhang
Xinchao Wang
Yanfeng Wang
MedIm
45
25
0
19 Mar 2024
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Yunkang Cao
Xiaohao Xu
Chen Sun
Y. Cheng
Zongwei Du
Liang Gao
Weiming Shen
VLM
35
70
0
18 May 2023
Learning Global-Local Correspondence with Semantic Bottleneck for
  Logical Anomaly Detection
Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection
Haiming Yao
Wenyong Yu
Wei Luo
Zhenfeng Qiang
Donghao Luo
Xiaotian Zhang
29
21
0
10 Mar 2023
Two-stream Decoder Feature Normality Estimating Network for Industrial
  Anomaly Detection
Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection
Chaewon Park
Minhyeok Lee
Suhwan Cho
Donghyeon Kim
Sangyoun Lee
19
4
0
20 Feb 2023
AltUB: Alternating Training Method to Update Base Distribution of
  Normalizing Flow for Anomaly Detection
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection
Yeongmin Kim
Huiwon Jang
Dongkeon Lee
Ho-Jin Choi
27
9
0
26 Oct 2022
[Reproducibility Report] Explainable Deep One-Class Classification
[Reproducibility Report] Explainable Deep One-Class Classification
João P C Bertoldo
Etienne Decencière
23
0
0
06 Jun 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
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
111
448
0
26 Jan 2022
TPAD: Identifying Effective Trajectory Predictions Under the Guidance of
  Trajectory Anomaly Detection Model
TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model
Chunnan Wang
Cheng Liang
Xiang Chen
Hongzhi Wang
11
1
0
09 Jan 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
875
0
21 Oct 2021
Unsupervised Two-Stage Anomaly Detection
Unsupervised Two-Stage Anomaly Detection
Yunfei Liu
Chaoqun Zhuang
Feng Lu
39
29
0
22 Mar 2021
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
Chaoqin Huang
Fei Ye
Peisen Zhao
Ya-Qin Zhang
Yanfeng Wang
Qi Tian
24
12
0
09 Dec 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
283
10,613
0
19 Feb 2017
1