On the Connection between Local Attention and Dynamic Depth-wise Convolution. (arXiv:2106.04263v4 [cs.CV] UPDATED)

Vision Transformer (ViT) attains state-of-the-art performance in visual
recognition, and the variant, Local Vision Transformer, makes further
improvements. The major component in Local Vision Transformer, local attention,
performs the attention separately over small local windows. We rephrase local
attention as a channel-wise locally-connected layer and analyze it from two
network regularization manners, sparse connectivity and weight sharing, as well
as weight computation. Sparse connectivity: there is no connection across
channels, and each position is connected to the positions within a …

arxiv attention cv local attention