when i use pre-trained model(like mobilenetv2) to train my classification model, at first i set the input size of my classicication model as $64\times 128$, the effects was not good， later i try to change my input size to $128 \times 256$, i retrain my model, and get a better result.
is that means when i use pre-trained model from imagenet, The input size needs to be as close as possible to the original input(224 \times 224) of the pre-trained model。 and why it matters to a classification model.