Results

These results were obtained entirely automatically, using the unlabeled, unfiltered PASCAL VOC 2011 dataset. Each row shows the most confident members of each cluster as measured by likelihood ratio, and they are sorted by the sum of the log-likelihood ratios of verified patches. Mouseover each image to see the generated log likelihood ratio of thing versus stuff. We outline in green the patch that was originally retrieved via Exemplar-LDA, and we white-out any region that the model does not believe is a part of the thing. Black boundaries indicate either the edge of the image, or the point at which we cut off the display (for many images, the region considered to be thing continues well outside the patch displayed here).

These results were obtained using the code we're releasing, which has been modified slightly from the code we used for the paper. Hence, the results are not identical. You can see the input used to generate each row of this table here

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