ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

european conference on computer vision, pp. 143-159, 2020.

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Abstract:

In this paper, we propose several ideas for enhancing a binary network to close its accuracy gap from real-valued networks without incurring any additional computational cost. We first construct a baseline network by modifying and binarizing a compact real-valued network with parameter-free shortcuts, bypassing all the intermediate convol...More

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