Resnet Input Normalization

For the pre-trained ResNet models, are they trained on mean-centered image data? If so, is a model which is transferred from one of those pre-trained models limited in its power if its final layer is re-trained on non-mean centered data? For ResNet is there any advantage to mean-centering?

Thank you,

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