TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection

TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection

3 April 2025

Kuan-Chuan Peng

Andrew Beng Jin Teoh

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Papers citing "TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection"

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Title
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images Xurui Li Ziming Huang Feng Xue Yu Zhou 90 23 0 30 Jan 2024
Combating Noisy Labels in Long-Tailed Image Classification Chaowei Fang Lechao Cheng Huiyan Qi Dingwen Zhang NoLa 47 2 0 01 Sep 2022
Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu Yiliang Zhang Bo Han Y. Cheung Hanzi Wang NoLa 78 18 0 21 Aug 2022
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation Yang Zou Jongheon Jeong Latha Pemula Dongqing Zhang Onkar Dabeer 95 310 0 28 Jul 2022
Registration based Few-Shot Anomaly Detection Chaoqin Huang Haoyan Guan Aofan Jiang Ya Zhang Michael W. Spratling Yanfeng Wang 77 147 0 15 Jul 2022
A Unified Model for Multi-class Anomaly Detection Zhiyuan You Lei Cui Yujun Shen Kai Yang Xin Lu Yu Zheng Xinyi Le 72 226 0 08 Jun 2022
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 184 75 0 12 Sep 2021
Robust Long-Tailed Learning under Label Noise Tong Wei Jiang-Xin Shi Wei-Wei Tu Yu-Feng Li NoLa 87 50 0 26 Aug 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 88 922 0 15 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 987 29,871 0 26 Feb 2021
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 79 848 0 17 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 676 41,483 0 22 Oct 2020
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 151 1,163 0 10 Apr 2019
PyOD: A Python Toolbox for Scalable Outlier Detection Yue Zhao Zain Nasrullah Zheng Li 92 724 0 06 Jan 2019
Wide Residual Networks Sergey Zagoruyko N. Komodakis 353 8,002 0 23 May 2016