Deep Learning, Artificial Intelligence, Image Classification, Vision Transformer, Transformers.
increase in FLOPs and parameters. Right: Two pairs of patch sizes are used such as (8, 16) and (12, 16), and it is observed that the one with (12, 16) achieves better accuracy with fewer FLOPs as shown in Model (A). Different channel width and depth in S-branch is tried. Model (B and C) increase