over9k:

For example, I was thinking adding a convolutional layer at the beginning of the pretrained network, followed by an AdaptiveAvgPool2d layer to bring the output size to 224x224 and then pass it into the next conv layer, which is in fact the first of the pretrained layer. Does this make sense?


It could make sense and I would definitely try it out and compare it to passing the larger images directly to the pretrained model.