Spatiotemporal Focal Modulation Networks for Efficient Human Action Recognition
The most common approaches to video action recognition have been using computationally expensive 3D Convolutional Neural Networks (3D CNNs) or using transformers, relying on the self-attention mechanism. Video Transformers are good at modeling long-range spatiotemporal relations; yet they are not good enough for real-t...