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One-Class Classification

One-class classification (OCC) algorithms serve a crucial role in scenarios where the negative class is either absent, poorly sampled, or not well defined. This unique situation presents a challenge for building effective classifiers, as they must delineate the class boundary solely based on knowledge of the positive class. OCC has found application in various research domains, including outlier/novelty detection and concept learning.

In the context of anomaly detection, OCC models are trained exclusively on "normal" data and are subsequently tasked with identifying anomalous patterns during inference.

A one-class classifier aims at capturing characteristics of training instances, in order to be able to distinguish between them and potential outliers to appear.

— Page 139, Learning from Imbalanced Data Sets, 2018.

Papers

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Showing 26–50 of 227 papers

TitleStatusHype
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly DetectionCode1
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly DetectionCode1
Few-Shot One-Class Classification via Meta-LearningCode1
Which Model Generated This Image? A Model-Agnostic Approach for Origin AttributionCode1
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly DetectionCode1
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly DetectionCode1
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training DataCode1
Binary Classification from Positive-Confidence DataCode0
Metre as a stylometric feature in Latin hexameter poetryCode0
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant NetworkCode0
Multimodal Subspace Support Vector Data DescriptionCode0
Localized Multiple Kernel Learning for Anomaly Detection: One-class ClassificationCode0
Active Authentication using an Autoencoder regularized CNN-based One-Class ClassifierCode0
MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial TranscriptomicsCode0
Adversarial Subspace Generation for Outlier Detection in High-Dimensional DataCode0
Learning Deep Features for One-Class ClassificationCode0
Linear-time One-Class Classification with Repeated Element-wise FoldingCode0
Multi-view Deep One-class Classification: A Systematic ExplorationCode0
A One-Class Classification method based on Expanded Non-Convex HullsCode0
Adversarially Learned One-Class Classifier for Novelty DetectionCode0
Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled DataCode0
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly DetectionCode0
Identification of Abnormal States in Videos of Ants Undergoing Social Phase ChangeCode0
Generalized Reference Kernel for One-class ClassificationCode0
Advancing Image Retrieval with Few-Shot Learning and Relevance FeedbackCode0
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