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A Self-Trained Spatial Graph Convolutional Network for Unsupervised Human-Related Anomalous Event Detection in Complex Scenes
Research article (IEEE Transactions on Cognitive and Developmental Systems, 2022) · cited 23× · AI/ML
A Self-Trained Spatial Graph Convolutional Network for Unsupervised Human-Related Anomalous Event Detection in Complex Scenes
Summary
A Self-Trained Spatial Graph Convolutional Network for Unsupervised Human-Related Anomalous Event Detection in Complex Scenes is a scholarly article[1].
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A Self-Trained Spatial Graph Convolutional Network for Unsupervised Human-Related Anomalous Event Detection in Complex Scenes's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Self-Trained Spatial Graph Convolutional Network for Unsupervised Human-Related Anomalous Event Detection in Complex Scenes. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-self-trained-spatial-graph-convolutional-network-for-unsupervised-human-related-anomalous-event-detection-in-complex-s
