Deep Learning, Artificial Intelligence, Image Classification, Vision Transformer, Transformers.
(width) of the j th stage. Then the network starts with MB4D with a simple Pool mixer to extract low level features: where ConvB,G refers to whether the convolution is followed by BN and GeLU. After processing all the MB4D blocks, we perform a one-time reshaping to transform the features size and