Reviews: Faster Neural Networks Straight from JPEG

My main concerns were responded to in the the rebuttal (separation between IO/CPU/GPU gains), TFLOP measurements and discussion of related works. I was happy to see that their model (Late-Concat-RFA-Thinner) is still faster than ResNet 50 (approx 680/475 43% gains in Figure 1. This is a pessimistic estimate given that the ResNet 50 RGB needs to also do the inverse DCT to go from DCT coefficients to RGB domain. However, I was a bit surprised to see such a big disconnect between the timing numbers and the TFLOP measurements (Figure 1. b vs Fig 1. c rebuttal). While I trust that the authors timed the models fairly and thus I do not doubt the results, I think this would be worth more investigation. For the related works, the authors did a good discussion of them in the rebuttal, but I find it strange that we had to ask for this.