>It seems to me you just have to run your NN on pairs of doctored and undoctored images, and create a separation of concern between scene continuity and object

>It seems to me you just have to run your NN on pairs of doctored and undoctored images, and create a separation of concern between scene continuity and object recognition. This may fix this problem, but what other visual issues will we uncover that might be fixable with the right kind of training but which we haven't yet accounted for. For example, we see so many optical illusions because of how our eyes and brain (and the neurons between them) work. These are often times caused by our sensation or perception incorrectly picking up data, but on purpose (well, as much purpose as an evolved system could have). For example, how neurons in the eye exaggerate differences in brightness or how we are overly sensitive to perceiving faces so that we see them even where they don't exist. What impact does the lack of these have on an artificial vision system? For starters, it would likely indicate the system wouldn't recognize the optical illusion unless trained for it, but are there any other impacts that we need to take into consideration, especially when considering having human lives depending upon the system?