One Class Classification

One-class classification (OCC) focuses on building models that can identify data points belonging to a single, known class, without requiring examples of the other classes. Current research emphasizes developing efficient algorithms, such as those based on linear-time operations or subspace learning, and addressing challenges like robustness to adversarial examples and the effective use of limited data, often employing models like Support Vector Data Description (SVDD) and deep learning architectures (e.g., autoencoders, transformers). OCC finds significant application in anomaly detection across diverse fields, including medical diagnosis, cybersecurity, and industrial quality control, offering solutions where obtaining comprehensive labeled datasets is difficult or impossible.

Papers

September 4, 2023

CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification
Zilong Zhang, Zhibin Zhao, Deyu Meng, Xingwu Zhang, Xuefeng Chen
One Class Classification Pre Trained Network Pre Trained Feature High Quality Training Datasets

August 23, 2023

Exploring the Optimization Objective of One-Class Classification for Anomaly Detection
Han Gao, Huiyuan Luo, Fei Shen, Zhengtao Zhang
Anomaly Detection One Class Classification Optimization Objective

July 23, 2023

ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim
Data Privacy One Class Classification Unsupervised Federated Learning One Class Classifier

July 20, 2023

LBL: Logarithmic Barrier Loss Function for One-class Classification
Tianlei Wang, Dekang Liu, Wandong Zhang, Jiuwen Cao
One Class Classification Sigmoid Function Logarithmic Barrier

July 9, 2023

Restricted Generative Projection for One-Class Classification and Anomaly Detection
Feng Xiao, Ruoyu Sun, Jicong Fan
Anomaly Detection RSD Difference of Gaussian One Class Classification Anomalous Data Target Distribution Constrained Generative

June 27, 2023

One-class systems seamlessly fit in the forward-forward algorithm
Michael Hopwood
Neural Network Hyper Parameter One Class Classification Forward Forward Algorithm One Class

April 30, 2023

SLSG: Industrial Image Anomaly Detection by Learning Better Feature Embeddings and One-Class Classification
Minghui Yang, Jing Liu, Zhiwei Yang, Zhaoyang Wu
Anomaly Detection Graph Convolutional Network Feature Embeddings One Class Classification Anomaly Detection Performance Industrial Image Anomaly Detection

April 19, 2023

Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
Sertac Kilickaya, Mete Ahishali, Fahad Sohrab, Turker Ince, Moncef Gabbouj
Hyperspectral Image One Class Classification Spectral Information One Class Classifier

February 13, 2023

Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics
Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi
Anomaly Detection Training Dynamic One Class Classification Deep Anomaly Detection Adaptive Threshold Normality Learning

January 26, 2023

Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
Louis Bethune, Paul Novello, Thibaut Boissin, Guillaume Coiffier, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis
Neural Network Adversarial Attack Signed Distance Function One Class Classification Robustness Bound

December 16, 2022

An Upper Bound for the Distribution Overlap Index and Its Applications
Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami
Financial Application Domain Shift One Class Classification Overlap Detection One Class Classifier

December 15, 2022

DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection
Mohanad Sarhan, Gayan Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann
Network Intrusion Detection Deeper Network Hybrid Deep Learning One Class Classification Multi Class Anomaly Detection Network Anomaly Detection One Class Classifier

October 27, 2022

One-Class Risk Estimation for One-Class Hyperspectral Image Classification
Hengwei Zhao, Yanfei Zhong, Xinyu Wang, Hong Shu
Hyperspectral Image Classification One Class Classification Hyperspectral Image Reconstruction One Class Classifier Learning Based Hyperspectral

October 22, 2022

Learning The Likelihood Test With One-Class Classifiers
Francesco Ardizzon, Stefano Tomasin
LeArning Abstract Negative Sample One Class Classification Probability Density Function Class Classifier One Class Classifier One Class Support Vector Machine Likelihood Ratio Test

September 15, 2022

Test-Time Training with Masked Autoencoders
Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros
Strong Generalization Supervised Autoencoder Self Supervision Masked Autoencoders One Class Classification Test Time Training

May 1, 2022

Generalized Reference Kernel for One-class Classification
Jenni Raitoharju, Alexandros Iosifidis
Small Kernel One Class Classification Normal Vector

April 25, 2022

OCFormer: One-Class Transformer Network for Image Classification
Prerana Mukherjee, Chandan Kumar Roy, Swalpa Kumar Roy
Vision Transformer Image Classification Layer Transformer One Class Classification Novel Deep Learning Framework One Class Classifier

April 19, 2022

"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection
C. Fanelli, J. Giroux, Z. Papandreou
Anomaly Detection Conditional Generative One Class Classification Research Community New Physic Dual Flux ThemeRiver

April 14, 2022

Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
Aysen Degerli, Fahad Sohrab, Serkan Kiranyaz, Moncef Gabbouj
Multi View One Class Classification Transesophageal Echocardiography Echocardiography Dataset Myocardial Infarction Detection

March 14, 2022

Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data
Farid Bagirov, Dmitry Ivanov, Aleksei Shpilman
State of the Art Binary Classification Unlabeled Data One Class Classification Unlabeled Dataset