About the Pre-trained Model

[Haochen-Wang409]

Hi @implus, thanks for the nice work of reproducing the segmentation results of MAE!

I checked the log you provided, and noticed that unexpected keys equals to norm.weight, norm.bias
https://github.com/implus/mae_segmentation/blob/main/log/20220131_012835.log#L229

Does it mean that the pre-trained model is first fine-tuned on ImageNet-1K, and then be loaded as the backbone in segmentation?
Is this a common practice for self-supervised methods?