I've been playing with Caffe for recognising images. It's kind of mind blowing how well it works. Yet the networks I tested could "only" recognise photos, not d

I've been playing with Caffe for recognising images. It's kind of mind blowing how well it works. Yet the networks I tested could "only" recognise photos, not drawings or anything abstract. A human could easily attribute meaning to a drawing, even if the drawing was very abstract or she had never seen a similar drawing before. Whereas a deep networks seem to rely on visual similarity to things it has seen in the past, on a pixel level. The networks I tried could tell something was a cartoon, but not what the cartoon depicted, even if it's something simple like a face. The deep networks I tried also really struggled with recognising different textures. Like closeups of sand, water etc, things that a human would instantly recognise. They could classify it as a texture but not what kind of texture.