SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals

NeurIPS 2015 Qing SunDhruv Batra

This paper formulates the search for a set of bounding boxes (as needed in object proposal generation) as a monotone submodular maximization problem over the space of all possible bounding boxes in an image. Since the number of possible bounding boxes in an image is very large $O(#pixels^2)$, even a single linear scan to perform the greedy augmentation for submodular maximization is intractable... (read more)

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