awesome-video-anomaly-detection
github.com/fjchange/awesome-video-anomaly-detection ↗Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
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Curated Resources
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DatasetsUnsupervisedWeakly-SupervisedSupervisedOthersReviews / Surveys
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Unsupervised
- Abnormal Event Detection and Localization via Adversarial Event Prediction2021
- A Causal Inference Look At Unsupervised Video Anomaly Detection2022
- Adversarially Learned One-Class Classifier for Novelty Detection2018
- A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction2021
- Anomaly Detection in Video Sequence with Appearance-Motion Correspondence2019
- Anomaly Detection in Video via Self-Supervised and Multi-Task Learning2021
Supervised
Weakly-Supervised
- CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection2020
- Graph Convolutional Label Noise Cleaner:Train a Plug-and-play Action Classifier for Anomaly Detection2019
- Learning a distance function with a Siamese network to localize anomalies in videos2020
- Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection2021
- Localizing Anomalies From Weakly-Labeled Videos2021
- Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies2019
Showing a sample of 62 resources. View the full list on GitHub →