Hey I noticed my model learns a lot more when I’m passing big images although my transformations are the following:
train_trans = transforms.Compose([
    transforms.Resize(256),
    transforms.RandomCrop(_image_size),
    transforms.RandomHorizontalFlip(),
    transforms.ToTensor(),
    transforms.Normalize(_mean, _std),
])


When I feed 256x256 images directly, the model doesn’t learn much. This leads me to believe, something is learned prior to transformations. Can anyone confirm? Thanks