Machine Learning

BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning

All Codes in the paper will be coming soon.

Here is the Pytorch Code of BatchFormer

def BatchFormer(x, y, encoder, is_training):
  # x: input features with the shape [N, C]
  # encoder: TransformerEncoderLayer(C,4,C,0.5)
  if not is_training:
      return x, y
  pre_x = x
  x = encoder(x.unsqueeze(1)).squeeze(1)
  x = torch.cat([pre_x, x], dim=0)
  y = torch.cat([y, y], dim=0)
  return x, y

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