Object Detection Networks on Convolutional Feature Maps

@article{Ren2015ObjectDN,
  title={Object Detection Networks on Convolutional Feature Maps},
  author={Shaoqing Ren and Kaiming He and Ross B. Girshick and Xiangyu Zhang and Jian Sun},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2015},
  volume={39},
  pages={1476-1481}
}
Most object detectors contain two important components: a feature extractor and an object classifier. The feature extractor has rapidly evolved with significant research efforts leading to better deep convolutional architectures. The object classifier, however, has not received much attention and many recent systems (like SPPnet and Fast/Faster R-CNN) use simple multi-layer perceptrons. This paper demonstrates that carefully designing deep networks for object classification is just as important… CONTINUE READING

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