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    State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations Advances like SPPnet [1] and Fast R-CNN [2] have reduced the running time of these detection networks, exposing region proposal computation as a bottleneck In this work, we introduce a Region Proposal Network(RPN) that shares full-image convolutional features with the detection





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