{"total":23,"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":"2111.09099","title":"Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection","created":"2021-11-17","cited_by_count":119,"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":"2202.08088","title":"Latent Outlier Exposure for Anomaly Detection with Contaminated Data","created":"2022-02-16","cited_by_count":48,"area":null},{"id":"2306.12041","title":"Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors","created":"2023-06-21","cited_by_count":37,"area":null},{"id":"2209.12148","title":"Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection","created":"2022-09-25","cited_by_count":34,"area":null},{"id":"2110.09742","title":"Learning Not to Reconstruct Anomalies","created":"2021-10-19","cited_by_count":31,"area":null},{"id":"2409.05383","title":"Deep Learning for Video Anomaly Detection: A Review","created":"2024-09-09","cited_by_count":27,"area":null},{"id":"2103.03664","title":"ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation","created":"2021-03-05","cited_by_count":15,"area":null},{"id":"2311.16514","title":"Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach","created":"2023-11-27","cited_by_count":10,"area":null},{"id":"2303.10704","title":"PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies","created":"2023-03-19","cited_by_count":8,"area":null},{"id":"2103.11299","title":"A Modular and Unified Framework for Detecting and Localizing Video Anomalies","created":"2021-03-21","cited_by_count":6,"area":null},{"id":"2511.19474","title":"Pistachio: Towards Synthetic, Balanced, and Long-Form Video Anomaly Benchmarks","created":"2025-11-22","cited_by_count":5,"area":null},{"id":"2103.10502","title":"Ano-Graph: Learning Normal Scene Contextual Graphs to Detect Video Anomalies","created":"2021-03-18","cited_by_count":4,"area":null},{"id":"2408.03014","title":"CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection","created":"2024-08-06","cited_by_count":2,"area":null},{"id":"2104.14945","title":"Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings","created":"2021-04-30","cited_by_count":1,"area":null},{"id":"2108.02356","title":"Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests","created":"2021-08-05","cited_by_count":1,"area":null},{"id":"2112.09135","title":"ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network","created":"2021-12-16","cited_by_count":1,"area":null},{"id":"2207.13798","title":"Look at Adjacent Frames: Video Anomaly Detection without Offline Training","created":"2022-07-27","cited_by_count":1,"area":null},{"id":"2105.06649","title":"Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection","created":"2021-05-14","cited_by_count":0,"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":"2211.08910","title":"On the Connection of Generative Models and Discriminative Models for Anomaly Detection","created":"2022-11-16","cited_by_count":0,"area":null},{"id":"2512.14141","title":"TorchTraceAP: A New Benchmark Dataset for Detecting Performance Anti-Patterns in Computer Vision Models","created":"2025-12-16","cited_by_count":0,"area":null}],"next_cursor":null}