About the LayerNorm in the backbone

[darkpromise98]

A nice work for metric learning!

I find in the backbone network, a LayerNorm is used after the final embedding/fc layer (before L2-normalization). Why use this operation? Since previous metric learning works usually haven't the LayerNorm. Will the performance be improved by LayerNorm?

Look forward to your reply~