Faster R-CNN: towards real-time object detection with region proposal networks
Abstract
State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet [7] and Fast R-CNN [5] 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 network, thus enabling nearly cost-free region...
Paper Details
Title
Faster R-CNN: towards real-time object detection with region proposal networks
Published Date
Dec 7, 2015
Volume
28
Pages
91 - 99
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