The Ancient Secrets of Computer Vision: The Evolution of Human Vision
heartbeat.fritz.ai
heartbeat.fritz.ai
https://bair.berkeley.edu/blog/2017/11/09/learn-to-attend-fo...
This "design flaw", i.e. placing wiring (nerves) in front of detectors (retina) is interesting and has been discussed at length (e.g. https://www.quora.com/Is-Dawkins-right-about-the-human-eye-b...), because it is point of contention for people arguing for Intelligent Design. Cephalod eyes evolved differently so don't have this problem (impossible not to feel a bit jealousy for this, like the randomized gradient decent optimization designed by your colleague converging on a much better solution than yours :-)
What exactly is the ‘problem’? How is your vision adversly effected by this layout? Or, are you just arguing about aesthetics?
https://1.bp.blogspot.com/-hqhjRSSvrKk/WgulKWrSrpI/AAAAAAAAW...
https://www.quantamagazine.org/hyperuniformity-found-in-bird...
Now what would be darn nifty would be replacing the somewhat deficient mammalian optical system with something like the avian system. Would that it were so simple to splice a few genes over...
I loved this article on so many levels, although I need a bit of a run up to get the hang of hyperuniformity (which I think is the same as random matricies)
I agree that CV does not need to mimick everything about human vision but we still have a long way to go before having vision as robust and efficient as humans. Moreover there are benefits in interpretability and explainability to mimicking human vision more closely. If CV perceived the world similarly it can fail in more similar and predictable ways.