Abstract: Extracting effective spatial-temporal information is significantly important for video-based action recognition. Recently 3D convolutional neural networks (3D CNNs) that could simultaneously ...

A preschool cartoon character is stranded in corrupted worlds, deciding to save the universe as a hero or risk the Darkness ...

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Abstract: Recently, contrastive learning (CL) is a promising way of learning discriminative representations from time series data. In the representation hierarchy, semantic information extracted from ...