Fast R-CNN

@article{Girshick2015FastR,
  title={Fast R-CNN},
  author={Ross B. Girshick},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={1440-1448}
}
This paper proposes a Fast Region-based Convolutional Network method (Fast R-CNN) for object detection. Fast R-CNN builds on previous work to efficiently classify object proposals using deep convolutional networks. Compared to previous work, Fast R-CNN employs several innovations to improve training and testing speed while also increasing detection accuracy. Fast R-CNN trains the very deep VGG16 network 9x faster than R-CNN, is 213x faster at test-time, and achieves a higher mAP on PASCAL VOC… CONTINUE READING

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