video-anomaly-detection
github.com/vt-le/video-anomaly-detection ↗Awesome Video Anomaly Detection
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20 hours ago
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Related worksWeakly Supervised VADSurveysNew VAD Datasets
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Related works
- AADC-Net: A Multimodal Deep Learning Framework for Automatic Anomaly Detection in Real-Time Surveillance
2025
- A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection
2024
- Ada-VAD: Domain Adaptable Video Anomaly Detection
2024
- Ada-VAD: Domain Adaptable Video Anomaly Detection
2024
- A deep learning-assisted visual attention mechanism for anomaly detection in videos
2024
- Adversarial diffusion for few-shot scene adaptive video anomaly detection
2025
Surveys
- A comprehensive review of datasets for detection and localization of video anomalies: a step towards data-centric artificial intelligence-based video anomaly detection
2024
- A critical study on the recent deep learning based semi-supervised video anomaly detection methods
2024
- A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance
2024
- A Survey on Diffusion Models for Anomaly Detection
2025
- A Survey on Diffusion Models for Anomaly Detection
2025
- Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions
2025
New VAD Datasets
Weakly Supervised VAD
- A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection
2024
- Anomaly-aware self-supervised feature learning for weakly supervised video anomaly detection
2025
- BatchNorm-Based Weakly Supervised Video Anomaly Detection
2024
- Cross-Modal Fusion and Attention Mechanism for Weakly Supervised Video Anomaly Detection
2024
- Diffusion-based normality pre-training for weakly supervised video anomaly detection
2024
- Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection
2025
Showing a sample of 132 resources. View the full list on GitHub →