CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

@article{Razavian2014CNNFO,
  title={CNN Features Off-the-Shelf: An Astounding Baseline for Recognition},
  author={Ali Sharif Razavian and Hossein Azizpour and Josephine Sullivan and Stefan Carlsson},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  year={2014},
  pages={512-519}
}
Recent results indicate that the generic descriptors extracted from the convolutional neural networks are very powerful. This paper adds to the mounting evidence that this is indeed the case. We report on a series of experiments conducted for different recognition tasks using the publicly available code and model of the OverFeat network which was trained to perform object classification on ILSVRC13. We use features extracted from the OverFeat network as a generic image representation to tackle… CONTINUE READING

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