Should we be normalizing the inputs prior to feeding them into the network [1]? All of the PyTorch networks contained in the model zoo use the same mean and std deviation for preprocessing images:
The images have to be loaded in to a range of [0, 1] and then normalized using mean=[0.485, 0.456, 0.406] and std=[0.229, 0.224, 0.225]
Should we be normalizing the inputs prior to feeding them into the network [1]? All of the PyTorch networks contained in the model zoo use the same mean and std deviation for preprocessing images: