Yongxi Lu

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State-of-the-art object detection systems rely on an accurate set of region proposals. Several recent methods use a neural network architecture to hypothesize promising object locations. While these approaches are computation-ally efficient, they rely on fixed image regions as anchors for predictions. In this paper we propose to use a search strategy that(More)
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