Reviews: Fixing the train-test resolution discrepancy

Clarity: The paper is clearly written and easy to follow. Significance: The results in the paper are significant for the practitioners and existing deployments as they shed light on the train-test resolution discrepancy and suggest method to improve test performance for existing trained models. Novelty: The analysis in this paper is novel (though improved performance on higher resolution images has been observed earlier). Questions: While the focus is on fixing discrepancy after the model has been initially trained, why not just fix the training such that there is no discrepancy, as opposed to changing the size for test and finetuning? Line 110-111 derives f sqrt(HW), which does not seem to be right since k doesn't include the sensor size.