{"total":30,"rows":[{"id":"2101.10030","title":"Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning","created":"2021-01-25","cited_by_count":230,"area":null},{"id":"2203.03962","title":"Generative Cooperative Learning for Unsupervised Video Anomaly Detection","created":"2022-03-08","cited_by_count":102,"area":null},{"id":"2211.15098","title":"MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection","created":"2022-11-28","cited_by_count":89,"area":null},{"id":"2404.01014","title":"Harnessing Large Language Models for Training-free Video Anomaly Detection","created":"2024-04-01","cited_by_count":87,"area":null},{"id":"2303.12369","title":"Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection","created":"2023-03-22","cited_by_count":64,"area":null},{"id":"2310.02835","title":"Delving into CLIP latent space for Video Anomaly Recognition","created":"2023-10-04","cited_by_count":27,"area":null},{"id":"2208.11113","title":"Towards Open Set Video Anomaly Detection","created":"2022-08-23","cited_by_count":26,"area":null},{"id":"2510.22693","title":"VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree","created":"2025-10-26","cited_by_count":18,"area":null},{"id":"2104.14370","title":"Graph-Embedded Subspace Support Vector Data Description","created":"2021-04-29","cited_by_count":13,"area":null},{"id":"2310.17650","title":"A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection","created":"2023-10-26","cited_by_count":13,"area":null},{"id":"2105.03797","title":"AnomalyHop: An SSL-based Image Anomaly Localization Method","created":"2021-05-08","cited_by_count":12,"area":null},{"id":"2511.00962","title":"A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis","created":"2025-11-02","cited_by_count":12,"area":null},{"id":"2204.07253","title":"Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography","created":"2022-04-14","cited_by_count":9,"area":null},{"id":"2408.05191","title":"Cross-Domain Learning for Video Anomaly Detection with Limited Supervision","created":"2024-08-09","cited_by_count":6,"area":null},{"id":"2309.13960","title":"Newton Method-based Subspace Support Vector Data Description","created":"2023-09-25","cited_by_count":5,"area":null},{"id":"2401.13551","title":"Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection","created":"2024-01-24","cited_by_count":5,"area":null},{"id":"2304.09730","title":"Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification","created":"2023-04-19","cited_by_count":4,"area":null},{"id":"2309.14880","title":"Credit Card Fraud Detection with Subspace Learning-based One-Class Classification","created":"2023-09-26","cited_by_count":3,"area":null},{"id":"2309.14134","title":"One-Class Classification for Intrusion Detection on Vehicular Networks","created":"2023-09-25","cited_by_count":2,"area":null},{"id":"2402.02066","title":"Trustworthiness of $\\mathbb{X}$ Users: A One-Class Classification Approach","created":"2024-02-03","cited_by_count":2,"area":null},{"id":"2402.06530","title":"Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification","created":"2024-02-09","cited_by_count":2,"area":null},{"id":"2505.19495","title":"The Role of Video Generation in Enhancing Data-Limited Action Understanding","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2608.11820","title":"TD-VAD: Breaking Visual Dependence in Video Anomaly Detection with Text-Driven Learning","created":"2026-08-12","cited_by_count":2,"area":null},{"id":"2309.14090","title":"Convolutional autoencoder-based multimodal one-class classification","created":"2023-09-25","cited_by_count":1,"area":null},{"id":"2412.10792","title":"Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description","created":"2024-12-14","cited_by_count":1,"area":null},{"id":"2502.15793","title":"Anomaly Detection in Smart Power Grids with Graph-Regularized MS-SVDD: a Multimodal Subspace Learning Approach","created":"2025-02-18","cited_by_count":1,"area":null},{"id":"2106.13272","title":"Generalized One-Class Learning Using Pairs of Complementary Classifiers","created":"2021-06-24","cited_by_count":0,"area":null},{"id":"2408.11412","title":"Linear-time One-Class Classification with Repeated Element-wise Folding","created":"2024-08-21","cited_by_count":0,"area":null},{"id":"2503.02563","title":"To Vaccinate or not to Vaccinate? Analyzing $\\mathbb{X}$ Power over the Pandemic","created":"2025-03-04","cited_by_count":0,"area":null},{"id":"2606.16002","title":"Decomposing one-class support vector machine into an ensemble of one-data support vector machines","created":"2026-06-14","cited_by_count":0,"area":null}],"next_cursor":null}