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An attention-based spatiotemporal graph convolutional framework (AT-GCN-GRU) for multi-horizon traffic speed prediction and suggests that temporal attention can provide incremental improvements to the GCN-GRU framework with relatively limited additional computational overhead.
Object detection and multi-object tracking are core foundational tasks in computer vision, serving as crucial supporting technologies for high-end applications such as autonomous driving, intelligent security, industrial inspection, and robot navigation. This paper systematically reviews the complete evolution of objec...
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