anomaly detection
Methods for identifying rare items, events, or observations that differ significantly from the majority of the data, often used in security and fault detection.
- 3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks
- A2Seek: Towards Reasoning-Centric Benchmark for Aerial Anomaly Understanding
- ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
- Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres
- AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
- BlockScan: Detecting Anomalies in Blockchain Transactions
- DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection
- Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns
- Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
- NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection
- Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
- Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection
- Self-Supervised Learning of Graph Representations for Network Intrusion Detection
- Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
- Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
- The Temporal Graph of Bitcoin Transactions
- Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification