I think the "where" dorsal stream (which is thought to be the missing piece in image recognition [1][2]) alone would not be able fix it. What would still be mis

I think the "where" dorsal stream (which is thought to be the missing piece in image recognition [1][2]) alone would not be able fix it. What would still be missing, I think, would be a network that learns to recognize patterns (i.e. repeating patterns and symmetries) in the "where" information. I could also image that sequential information (i.e. videos) would help in the case of the liquid texture. [1]: http://techtv.mit.edu/collections/bcs/videos/30698-what-s-wrong-with-convolutional-nets http://techtv.mit.edu/collections/bcs/videos/30698-what-s-wr... [2]: https://youtu.be/fe-uxTUnoCs?t=2702 https://youtu.be/fe-uxTUnoCs?t=2702