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1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Feature Pyramid Networks for Object Detection

   Lin, Dollár, Girshick, He, Hariharan and Belongie · arXiv (Cornell University) · 2016

   The paper builds feature pyramids from the layers of deep convolutional networks at marginal extra cost, and reports state-of-the-art single-model COCO detection results with Faster R-CNN.

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   1. UncheckedThe authors say their Feature Pyramid Network method runs at 5 frames per second on a GPU, making it a practical and accurate multi-scale object detector.“In addition, our method can run at 5 FPS on a GPU and thus is a practical and accurate solution to multi-scale object detection.”