Return of the Devil in the Details: Delving Deep into Convolutional Nets

@inproceedings{Chatfield2014ReturnOT,
  title={Return of the Devil in the Details: Delving Deep into Convolutional Nets},
  author={Ken Chatfield and Karen Simonyan and Andrea Vedaldi and Andrew Zisserman},
  booktitle={BMVC},
  year={2014}
}
The latest generation of Convolutional Neural Networks (CNN) have achieved impressive results in challenging benchmarks on image recognition and object detection, significantly raising the interest of the community in these methods. Nevertheless, it is still unclear how different CNN methods compare with each other and with previous state-of-the-art shallow representations such as the Bag-of-Visual-Words and the Improved Fisher Vector. This paper conducts a rigorous evaluation of these new… CONTINUE READING
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