{"total":29,"rows":[{"id":"2206.03687","title":"A Unified Model for Multi-class Anomaly Detection","created":"2022-06-08","cited_by_count":268,"area":null},{"id":"2301.11514","title":"Deep Industrial Image Anomaly Detection: A Survey","created":"2023-01-27","cited_by_count":148,"area":null},{"id":"2306.11876","title":"BMAD: Benchmarks for Medical Anomaly Detection","created":"2023-06-20","cited_by_count":82,"area":null},{"id":"2312.07495","title":"Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection","created":"2023-12-12","cited_by_count":47,"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":"2209.01816","title":"ADTR: Anomaly Detection Transformer with Feature Reconstruction","created":"2022-09-05","cited_by_count":31,"area":null},{"id":"2403.11561","title":"Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection","created":"2024-03-18","cited_by_count":19,"area":null},{"id":"2505.09264","title":"Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt","created":"2025-05-14","cited_by_count":18,"area":null},{"id":"2211.06004","title":"A Comprehensive Survey of Transformers for Computer Vision","created":"2022-11-11","cited_by_count":14,"area":null},{"id":"2403.20236","title":"Long-Tailed Anomaly Detection with Learnable Class Names","created":"2024-03-29","cited_by_count":14,"area":null},{"id":"2507.15905","title":"Foundation Models and Transformers for Anomaly Detection: A Survey","created":"2025-07-21","cited_by_count":8,"area":null},{"id":"2408.13561","title":"Variational Autoencoder for Anomaly Detection: A Comparative Study","created":"2024-08-24","cited_by_count":6,"area":null},{"id":"2409.20353","title":"CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset","created":"2024-09-30","cited_by_count":5,"area":null},{"id":"2211.12311","title":"Generalizable Industrial Visual Anomaly Detection with Self-Induction Vision Transformer","created":"2022-11-22","cited_by_count":4,"area":null},{"id":"2303.17354","title":"ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization","created":"2023-03-30","cited_by_count":4,"area":null},{"id":"2310.03106","title":"Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection","created":"2023-10-04","cited_by_count":4,"area":null},{"id":"2206.11723","title":"Self-Supervised Training with Autoencoders for Visual Anomaly Detection","created":"2022-06-23","cited_by_count":3,"area":null},{"id":"2402.17788","title":"Multimodal Sleep Apnea Detection with Missing or Noisy Modalities","created":"2024-02-24","cited_by_count":2,"area":null},{"id":"2404.17931","title":"Critical Review for One-class Classification: recent advances and the reality behind them","created":"2024-04-27","cited_by_count":2,"area":null},{"id":"2410.24075","title":"Identifying Spatio-Temporal Drivers of Extreme Events","created":"2024-10-31","cited_by_count":1,"area":null},{"id":"2506.23446","title":"User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection","created":"2025-06-30","cited_by_count":1,"area":null},{"id":"2406.15396","title":"Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton","created":"2024-04-30","cited_by_count":0,"area":null},{"id":"2407.04597","title":"Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection","created":"2024-07-05","cited_by_count":0,"area":null},{"id":"2409.11534","title":"Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening Mammogram","created":"2024-09-17","cited_by_count":0,"area":null},{"id":"2410.11307","title":"CONSULT: Contrastive Self-Supervised Learning for Few-shot Tumor Detection","created":"2024-10-15","cited_by_count":0,"area":null},{"id":"2509.00827","title":"Surface Defect Detection with Gabor Filter Using Reconstruction-Based Blurring U-Net-ViT","created":"2025-08-31","cited_by_count":0,"area":null},{"id":"2604.07097","title":"Novel Anomaly Detection Scenarios and Evaluation Metrics to Address the Ambiguity in the Definition of Normal Samples","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2606.26151","title":"Unsupervised Memory-Enhanced Video Transformers: Obstacle Detection for Autonomous Agricultural Rover","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2606.26829","title":"Identifying the Unknown: Prompt-Free Open Vocabulary Anomaly Recognition for Robot-Object Interaction","created":"2026-06-25","cited_by_count":0,"area":null}],"next_cursor":null}