Torralba and Oliva's results look pretty good for the images that they used, but based on the few samples that they showed, they already represent a sampling of scenes that people find interesting. Even the "panoramic" views seem a bit restricted. For instance, they show a picture of a pedestrian, but it seems equally likely that a random picture from that environment would have half a pedestrian or just a brick wall. I'd be interested to see if they would be able to get interesting results from a 360 degree spherical panorama. I imagine that a large view would have distinctive characteristics, whether they would be from changing depth estimations or different content.