What is “BERT (Bidirectional Encoder Representations from Transformers)”? BERT, or Bidirectional Encoder Representations from Transformers, is a deep learning model developed by Google that ...

while the decoder upsamples to reconstruct it, maintaining consistency with UNet’s proven advantages. At intermediate stages within the encoder, transformer layers leverage the Swin shift mechanism.