Unsupervised Video Anomaly Detection For Stereotypical Behaviours in Autism
Author:
Affiliation:
1. Fudan University,School of Computer Science
2. Microsoft Research Asia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094676.pdf?arnumber=10094676
Reference24 articles.
1. A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
2. Learning Memory-Guided Normality for Anomaly Detection
3. Boot-strapping graph convolutional neural networks for autism spectrum disorder classification;anirudh;ICASSP,2019
4. 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training
5. Future Frame Prediction for Anomaly Detection - A New Baseline
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