Papers One-Class Classification
“One-Class Classification” 태그가 달린 논문 227편 · 필터 해제
One-Class Classification as GLRT for Jamming Detection in Private 5G Networks
5G mobile networks are vulnerable to jamming attacks that may jeopardize valuable applications such as industry automation. In this paper, we propose to analyze radio signals with a dedicated device to detect jamming att…
One-Class ClassificationCritical Review for One-class Classification: recent advances and the reality behind them
This paper offers a comprehensive review of one-class classification (OCC), examining the technologies and methodologies employed in its implementation. It delves into various approaches utilized for OCC across diverse d…
Binary ClassificationClassificationMulti-class ClassificationOne-Class Classification+1Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing
Face recognition technology has become an integral part of modern security systems and user authentication processes. However, these systems are vulnerable to spoofing attacks and can easily be circumvented. Most prior r…
Face Anti-SpoofingFace RecognitionOne-Class ClassificationWhich Model Generated This Image? A Model-Agnostic Approach for Origin Attribution
Recent progress in visual generative models enables the generation of high-quality images. To prevent the misuse of generated images, it is important to identify the origin model that generates them. In this work, we stu…
modelOne-Class ClassificationPREGO: online mistake detection in PRocedural EGOcentric videos
Promptly identifying procedural errors from egocentric videos in an online setting is highly challenging and valuable for detecting mistakes as soon as they happen. This capability has a wide range of applications across…
Action RecognitionBenchmarkingMistake DetectionOne-Class Classification+1LLM meets Vision-Language Models for Zero-Shot One-Class Classification
We consider the problem of zero-shot one-class visual classification, extending traditional one-class classification to scenarios where only the label of the target class is available. This method aims to discriminate be…
ClassificationOne-Class ClassificationusfAD Based Effective Unknown Attack Detection Focused IDS Framework
The rapid expansion of varied network systems, including the Internet of Things (IoT) and Industrial Internet of Things (IIoT), has led to an increasing range of cyber threats. Ensuring robust protection against these th…
Anomaly DetectionIntrusion DetectionOne-Class ClassificationA Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats
In today's digital age, our dependence on IoT (Internet of Things) and IIoT (Industrial IoT) systems has grown immensely, which facilitates sensitive activities such as banking transactions and personal, enterprise data,…
ClusteringIntrusion DetectionNetwork Intrusion DetectionOne-Class ClassificationRefining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification
Early detection of myocardial infarction (MI), a critical condition arising from coronary artery disease (CAD), is vital to prevent further myocardial damage. This study introduces a novel method for early MI detection u…
DiagnosticMyocardial infarction detectionOne-Class ClassificationTrustworthiness of $\mathbb{X}$ Users: A One-Class Classification Approach
$\mathbb{X}$ (formerly Twitter) is a prominent online social media platform that plays an important role in sharing information making the content generated on this platform a valuable source of information. Ensuring tru…
ClassificationOne-Class ClassificationUnderstanding Time Series Anomaly State Detection through One-Class Classification
For a long time, research on time series anomaly detection has mainly focused on finding outliers within a given time series. Admittedly, this is consistent with some practical problems, but in other practical applicatio…
Anomaly DetectionOne-Class ClassificationTime SeriesTime Series Anomaly Detection+1Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection
Video Anomaly Detection (VAD) has been extensively studied under the settings of One-Class Classification (OCC) and Weakly-Supervised learning (WS), which however both require laborious human-annotated normal/abnormal la…
Anomaly DetectionOne-Class ClassificationVideo Anomaly DetectionWeakly-supervised Learning+1Lp-Norm Constrained One-Class Classifier Combination
Classifier fusion is established as an effective methodology for boosting performance in different settings and one-class classification is no exception. In this study, we consider the one-class classifier fusion problem…
One-Class ClassificationOne-class classifierAdvancing Image Retrieval with Few-Shot Learning and Relevance Feedback
With such a massive growth in the number of images stored, efficient search in a database has become a crucial endeavor managed by image retrieval systems. Image Retrieval with Relevance Feedback (IRRF) involves iterativ…
Binary ClassificationClassificationFew-Shot LearningImage Retrieval+3Label-Free Multivariate Time Series Anomaly Detection
Anomaly detection in multivariate time series (MTS) has been widely studied in one-class classification (OCC) setting. The training samples in OCC are assumed to be normal, which is difficult to guarantee in practical si…
Anomaly DetectionDensity EstimationGraph structure learningOne-Class Classification+3Learning Polynomial Representations of Physical Objects with Application to Certifying Correct Packing Configurations
This paper introduces a novel approach for learning polynomial representations of physical objects. Given a point cloud data set associated with a physical object, we solve a one-class classification problem to bound the…
ObjectOne-Class ClassificationReinforcement Learning (RL)OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection
Deep neural networks (DNNs) have been found vulnerable to backdoor attacks, raising security concerns about their deployment in mission-critical applications. There are various approaches to detect backdoor attacks, howe…
Anomaly Detectionbackdoor defenseGraph EmbeddingOne-Class Classification+1Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach
Video Anomaly Detection (VAD) is an open-set recognition task, which is usually formulated as a one-class classification (OCC) problem, where training data is comprised of videos with normal instances while test data con…
Anomaly DetectionOne-Class ClassificationOpen Set LearningOptical Flow Estimation+1Enhancing Sentiment Analysis Results through Outlier Detection Optimization
When dealing with text data containing subjective labels like speaker emotions, inaccuracies or discrepancies among labelers are not uncommon. Such discrepancies can significantly affect the performance of machine learni…
Language ModelingLanguage ModellingLarge Language ModelOne-Class Classification+2Interpretable pap smear cell representation for cervical cancer screening
Screening is critical for prevention and early detection of cervical cancer but it is time-consuming and laborious. Supervised deep convolutional neural networks have been developed to automate pap smear screening and th…
ClusteringOne-Class Classification