Attention mechanisms have significantly boosted the performance of video classification neural networks thanks to utilization perspective contexts. However, current research on attention generally focuses adopting a specific aspect contexts (e.g., channel, spatial/temporal, or global context) refine features and neglects their underlying correlation when computing attentions. This leads incompl...
