{"total":16,"rows":[{"id":"2507.07435","title":"Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects","created":"2025-07-10","cited_by_count":15,"area":null},{"id":"2510.17611","title":"Dinomaly2: A Unified Framework for Unsupervised Image Anomaly Detection","created":"2025-10-20","cited_by_count":6,"area":null},{"id":"2511.13115","title":"A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features","created":"2025-11-17","cited_by_count":5,"area":null},{"id":"2603.02629","title":"Towards an Incremental Unified Multimodal Anomaly Detection: Augmenting Multimodal Denoising From an Information Bottleneck Perspective","created":"2026-03-03","cited_by_count":4,"area":null},{"id":"2507.13378","title":"A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects","created":"2025-07-15","cited_by_count":2,"area":null},{"id":"2507.07838","title":"3D-ADAM: A Dataset for 3D Anomaly Detection in Additive Manufacturing","created":"2025-07-10","cited_by_count":1,"area":null},{"id":"2508.07441","title":"Leveraging Learning Bias for Noisy Anomaly Detection","created":"2025-08-10","cited_by_count":1,"area":null},{"id":"2606.29181","title":"Anomaly Factory 3D: A Modular Framework for Diverse Pseudo-Anomaly Synthesis in Unsupervised 3D Anomaly Detection","created":"2026-06-28","cited_by_count":1,"area":null},{"id":"2507.21555","title":"Multi-View Reconstruction with Global Context for 3D Anomaly Detection","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2604.01171","title":"Open-Set Supervised 3D Anomaly Detection: An Industrial Dataset and a Generalisable Framework for Unknown Defects","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2604.04658","title":"Synthesis4AD: Synthetic Anomalies are All You Need for 3D Anomaly Detection","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2607.13499","title":"M2P-AD: Memory-to-Prototype Learning with Boundary-aware Score Refinement for 3D Anomaly Detection","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2607.23658","title":"XMatchAD: A Cross-Modal Matching Perspective on Reconstruction-based Anomaly Detection","created":"2026-07-26","cited_by_count":0,"area":null},{"id":"2609.14722","title":"PC$^2$-AD: Point Cloud Upsampling to Safeguard 3D Anomaly Detection with Resolution-constrained Edge Devices","created":"2026-09-13","cited_by_count":0,"area":null},{"id":"2609.25930","title":"AT3D-AD: Anomaly Type-Aware 3D Anomaly Detection via Hierarchical Point-Language Alignment","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.35059","title":"Towards Generalizable 3D Anomaly Detection via Relational Inconsistency Modeling","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}