UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time
Clustering for OCTA Image Quality Assessment

v1v2 (latest)

UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment

20 December 2022

ArXiv (abs)PDF HTML

Papers citing "UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment"

10 / 10 papers shown

Title
Anomalib: A Deep Learning Library for Anomaly Detection S. Akçay Dick Ameln Ashwin Vaidya B. Lakshmanan Nilesh A. Ahuja Ergin Utku Genc 103 113 0 16 Feb 2022
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning Linkai Peng Li Lin Pujin Cheng Ziqi Huang Xiaoying Tang OOD 60 14 0 13 Jan 2022
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows Jiawei Yu1 Ye Zheng Xiang Wang Wei Li Yushuang Wu Rui Zhao Liwei Wu 61 311 0 15 Nov 2021
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows Denis A. Gudovskiy Shun Ishizaka Kazuki Kozuka 112 401 0 27 Jul 2021
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image Yu-Fang Wang Yiqing Shen Meng Yuan Jing Xu B. Yang Chicheng Liu Wenjia Cai Weijing Cheng Wei Wang 69 18 0 22 Jul 2021
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images Li Lin Zhonghua Wang Jiewei Wu Yijin Huang Junyan Lyu Pujin Cheng Jiong Wu Xiaoying Tang 54 37 0 10 Jul 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 88 911 0 15 Jun 2021
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 79 840 0 17 Nov 2020
Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces Huazhu Fu Boyang Wang Jianbing Shen Shanshan Cui Yanwu Xu Jiang-Dong Liu Ling Shao 46 172 0 10 Jul 2019
Wide Residual Networks Sergey Zagoruyko N. Komodakis 340 7,985 0 23 May 2016