My take on this: if we want vision ML to succeed at recognition in the same way as humans, perhaps we need to pre-process and present visual information in the same way as the human vision system? As far as I'm aware, we get a lot of info from our eyes about lines and orientation that assists in recognizing shapes.

I'm not well-informed about the current state of visual recognition DL, perhaps someone who is can tell us more about whether that approach makes sense.