Latest Research in Anomaly Detection Techniques and Applications
18 research papers · 2026 median publication year
Top Research Topics in Anomaly Detection Techniques and Applications
- Computer Vision and Pattern Recognition — 12 papers
- Anomaly Detection Techniques and Applications — 3 papers
- Cryptography and Security — 1 papers
- Human Pose and Action Recognition — 1 papers
- Artificial Intelligence — 1 papers
Highest-Cited Papers
- Learn the interactions: Weakly supervised video anomaly detection with human-object interactions
- YOLO world guides open world video anomaly detection
- EvoSherlock: Towards Agentic Lifelong Evolution for Unseen Long-Tailed Security-Critical Events in Videos
- RoboVAD: A Large Cross-Domain Evaluation Benchmark for Anomaly Detection in Robotic Arm Manipulation Videos
- Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
- Auditing Frame-Level AUC in Weakly Supervised Video Anomaly Detection: Granularity, Resolution, and Scene Bias
- A Lightweight Asynchronous Fusion Framework for Multimodal Surveillance Anomaly Detection
- Confidence-Aware Semi-Supervised Vision–Language Contrastive Learning for Abnormal Behavior Recognition
- ReactVAU: A Slow-Fast Decoupled Framework for Streaming Video Anomaly Understanding
- Federated Binary Gating with Server-Side Vision-Language Inference for Surveillance Anomaly Classification
- AnomalyCraft-700K: Component-Level Controllable and Verifiable Synthetic Anomalies for Fine-Grained Video Anomaly Understanding
- Parser-Free VLM Verification for Federated Weakly Supervised Video Anomaly Detection
- Adaptive Multi-Granularity Temporal Modeling for Weakly Supervised Video Anomaly Detection
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring
- CropCop: An Auditable 120-Class Plant-Health Model from Benchmark Reconstruction to a Quantised Runtime Artifact
- Strictly Causal Streaming Video Anomaly Detection with a Theoretically-Grounded State-Space Core
- Frame-Level Evaluation in Weakly Supervised Video Anomaly Detection Mostly Measures Video-Level Ranking