Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks

Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca M. Gambardella, Juergen Schmidhuber

Deep Neural Networks now excel at image classication, 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.

Preprint PDF, IDSIA Tech. Rep. Arxiv, ICIP proceedings PDF, IEEEXplore.

Coming soon.

@inproceedings{Giusti:2013a,
  author    = {Alessandro Giusti and
	       Dan Claudiu Ciresan and
	       Jonathan Masci and               
	       Luca Maria Gambardella and
               J{\"u}rgen Schmidhuber},
  title     = {Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks},
  booktitle = {ICIP},
  year      = {2013},
  pages     = {in press}
}