# Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks

Source: [Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks](<https://www.sota2.com/research/paper/68fa60f41e209131ce9f1f08>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-28T13:56:28.759Z

Authors: Alessandro Giusti, Dan C. Cire\\c{s}an, Jonathan Masci, Luca M. Gambardella, J\\"urgen Schmidhuber

Published: 2013-02-07T10:33:47.000Z

## Abstract

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.

## Recorded benchmark results

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## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1302.1700>)

[PDF](<https://arxiv.org/pdf/1302.1700.pdf>)