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Complete List of Conference Papers of the chair of Prof. Dr. Christoph Meinel

Here you can find all our peer-reviewed conference papers.

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Training Accurate Binary Neural Networks from Scratch

Bethge, Joseph; Yang, Haojin; Meinel, Christoph in 2019 26th IEEE International Conference on Image Processing (ICIP) 2019 .

Binary neural networks are a promising approach to execute convolutional neural networks on devices with low computational power. Previous work on this subject often quantizes pretrained full-precision models and uses complex training strategies. In our work, we focus on increasing the performance of binary neural networks by training from scratch with a simple training strategy. In our experiments we show that we are able to achieve state-of-the-art results on standard benchmark datasets. Further, we analyze how full-precision network structures can be adapted for efficient binary networks and adopt a network architecture based on a DenseNet for binary networks, which lets us improve the state-of-the-art even further. Our source code can be found online: https://github.com/hpi-xnor/BMXNet-v2
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