Fast image scanning with deep max-pooling convolutional neural networks

Deep Neural Networks now excel at image classification, detection and segmentation. When used to scan images by means of a sliding window, however, their high computational complexity can bring even the most powerful hardware to its knees. We show how dynamic programming can speedup the process by orders of magnitude, even when max-pooling layers are present.

• Publication year

  2013

• Venue

  2013 IEEE International Conference on Image Processing

• Publication date

  2013-02-07

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/ICIP.2013.6738831arXiv 1302.1700
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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