Abstract: Existing spatio-temporal prediction networks that rely on recurrent neural networks face significant parallelization challenges, leading to high computational costs and prolonged training ...
Abstract: To achieve video-based fall detection, a spatiotemporal graph convolutional auto-encoder was designed based on human skeleton information and principles of currently available auto-encoders ...
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