Towards real-time image understanding with convolutional networks

@inproceedings{Farabet2014TowardsRI,
  title={Towards real-time image understanding with convolutional networks},
  author={Cl{\'e}ment Farabet},
  year={2014}
}
One of the open questions of artificial computer vision is how to produce good internal representations of the visual world. What sort of internal representation would allow an artificial vision system to detect and classify objects into categories, independently of pose, scale, illumination, conformation, and clutter? More interestingly, how could an artificial vision system learn appropriate internal representations automatically, the way animals and humans seem to learn by simply looking at… CONTINUE READING

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