Learning Deep Features for One-Class Classification

16 January 2018

Papers citing "Learning Deep Features for One-Class Classification"

50 / 116 papers shown

Title
GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks Lahiru Akmeemana Chamodya Attanayake Husni Faiz Sandareka Wickramanayake MLAU AI4TS 69 0 0 31 Mar 2025
The OCON model: an old but green solution for distributable supervised classification for acoustic monitoring in smart cities Stefano Giacomelli Marco Giordano Claudia Rinaldi 29 0 0 05 Oct 2024
The OCON model: an old but gold solution for distributable supervised classification Stefano Giacomelli Marco Giordano Claudia Rinaldi 21 1 0 05 Oct 2024
Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening Mammogram Zhemin Zhang Bhavika Patel Bhavik Patel Imon Banerjee 27 0 0 17 Sep 2024
Absolute-Unified Multi-Class Anomaly Detection via Class-Agnostic Distribution Alignment Jia Guo Haonan Han Shuai Lu Weihang Zhang Huiqi Li 30 0 0 31 Mar 2024
AdaProj: Adaptively Scaled Angular Margin Subspace Projections for Anomalous Sound Detection with Auxiliary Classification Tasks Kevin Wilkinghoff 23 1 0 21 Mar 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection Jingyi Liao Xun Xu Manh Cuong Nguyen A. Goodge Chuan-Sheng Foo 42 10 0 29 Feb 2024
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 35 0 0 24 Nov 2023
Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI J. D. Leeuw Z. Bukhsh Yingqian Zhang 19 1 0 25 Oct 2023
Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection S. Sivaprasad Mario Fritz AAML 26 0 0 01 Oct 2023
Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection? Kevin Wilkinghoff Frank Kurth AAML UQCV 30 8 0 27 Sep 2023
CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification Zilong Zhang Zhibin Zhao Deyu Meng Xingwu Zhang Xuefeng Chen VLM 24 1 0 04 Sep 2023
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network Zi-Shun Huang Boheng Li Yan Cai Run Wang Shangwei Guo Liming Fang Jing Chen Lina Wang 38 11 0 29 Jul 2023
Image Outlier Detection Without Training using RANSAC Chen-Han Tsai Yu-Shao Peng 21 0 0 23 Jul 2023
Multi-representations Space Separation based Graph-level Anomaly-aware Detection Fu Lin Haonan Gong Mingkang Li Zitong Wang Yue Zhang Xuexiong Luo 43 1 0 22 Jul 2023
Representation Learning in Anomaly Detection: Successes, Limits and a Grand Challenge Yedid Hoshen UQCV 16 0 0 20 Jul 2023
Restricted Generative Projection for One-Class Classification and Anomaly Detection Feng Xiao Ruoyu Sun Jicong Fan UQCV 31 2 0 09 Jul 2023
SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection Jianan Ye Yijie Hu Xi Yang Qiufeng Wang Chao Huang Kaizhu Huang 22 5 0 14 Jun 2023
No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection Tal Reiss Niv Cohen Yedid Hoshen UQCV 36 5 0 12 Jun 2023
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction Jia Guo Shuai Lu Lize Jia Weihang Zhang Huiqi Li 24 23 0 05 Jun 2023
An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face Detection Rudresh Dwivedi Ritesh Kumar Deepak Chopra Pranay Kothari Manjot Singh CVBM AAML 33 7 0 23 Apr 2023
ActiveSelfHAR: Incorporating Self Training into Active Learning to Improve Cross-Subject Human Activity Recognition Baichun Wei Chunzhi Yi Qi Zhang Haiqi Zhu Jianfei Zhu Feng Jiang 25 1 0 27 Mar 2023
Set Features for Fine-grained Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen AI4TS 26 15 0 23 Feb 2023
Weakly Supervised Video Anomaly Detection Based on Cross-Batch Clustering Guidance Congqi Cao Xin Zhang Shizhou Zhang Peng Wang Yanning Zhang 24 6 0 16 Dec 2022
Multi-scale Feature Imitation for Unsupervised Anomaly Localization Chao Hu Shengxin Lai 19 0 0 12 Dec 2022
Few-Shot Learning for Biometric Verification S. Ahmed Umaid M. Zaffar M. Aslam M. I. Malik 26 0 0 12 Nov 2022
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector Haiming Yao Xue Wang Wenyong Yu 29 9 0 01 Nov 2022
Anomaly Detection Requires Better Representations Tal Reiss Niv Cohen Eliahu Horwitz Ron Abutbul Yedid Hoshen OOD AI4TS SSL 46 21 0 19 Oct 2022
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development I. Zingman B. Stierstorfer C. Lempp Fabian Heinemann OOD MedIm 27 11 0 14 Oct 2022
TrADe Re-ID -- Live Person Re-Identification using Tracking and Anomaly Detection Luigy Machaca H. F.OliverSumari Jose Huaman E. Clua Joris Guérin 22 2 0 14 Sep 2022
Self-Calibrating Anomaly and Change Detection for Autonomous Inspection Robots Sahar Salimpour Jorge Peña Queralta Tomi Westerlund 37 10 0 26 Aug 2022
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors Niv Cohen Jonathan Kahana Yedid Hoshen 24 3 0 07 Jul 2022
Perturbation Learning Based Anomaly Detection Jinyu Cai Jicong Fan AAML 29 26 0 06 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 26 0 0 01 Jun 2022
Unknown Face Presentation Attack Detection via Localised Learning of Multiple Kernels Shervin Rahimzadeh Arashloo CVBM AAML 30 9 0 22 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 24 112 0 28 Mar 2022
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection Eliahu Horwitz Yedid Hoshen 32 50 0 10 Mar 2022
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection Yufei Liang Jiangning Zhang Shiwei Zhao Ru-Chwen Wu Yong-Jin Liu Shuwen Pan 123 116 0 01 Mar 2022
Data refinement for fully unsupervised visual inspection using pre-trained networks Antoine Cordier Benjamin Missaoui Pierre Gutierrez 35 5 0 25 Feb 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 20 32 0 12 Feb 2022
Training OOD Detectors in their Natural Habitats Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Yixuan Li OODD 24 90 0 07 Feb 2022
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control J. Pulsipher Luke D. J. Coutinho Tyler A. Soderstrom Victor M. Zavala HAI 12 7 0 03 Feb 2022
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection Lan Wang Yusan Lin Yuhang Wu Huiyuan Chen Fei Wang Hao Yang AI4TS 39 5 0 13 Jan 2022
Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detection Yurong Chen Hui Zhang Yaonan Wang Q. M. J. Wu Yimin Yang 22 0 0 20 Dec 2021
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation Rongrong Ma Guansong Pang Ling-Hao Chen Anton Van Den Hengel 29 91 0 19 Dec 2021
Out-of-Distribution Detection Without Class Labels Niv Cohen Ron Abutbul Yedid Hoshen OODD 24 10 0 14 Dec 2021
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning Lukas Bommes M. Hoffmann C. Buerhop‐Lutz Tobias Pickel J. Hauch Christoph J. Brabec Andreas Maier I. M. Peters 18 31 0 06 Dec 2021
Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images Long Gao Chang Liu Dooman Arefan A. Panigrahy Shandong Wu 23 2 0 20 Nov 2021
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction Yuxin Meng Eric Rigall Xueén Chen Feng Gao Junyu Dong Sheng Chen GAN AI4CE 18 39 0 04 Nov 2021
Latent-Insensitive autoencoders for Anomaly Detection Muhammad S. Battikh Artem Lenskiy UQCV 12 6 0 25 Oct 2021