>there is a lot more to computer vision nets than grabbing the network trained on a benchmark dataset and shoving completely different data at it.
Sure, you are right, but lots of people are wandering about saying different!
Sure, you are right, but lots of people are wandering about saying different!
Also, it may seem minor, but as someone who has been working professionally with neural networks since 2013 or so, there is a huge difference between saying "what inception net doesn't see" and "what inception net trained on image net doesn't see". I may grant that the author is simplifying for an inexperienced audience, but if that were the case, they should at least point out how such problems can be avoided, and have been avoided for at least 5 or 6 years now, if not longer.