Binarizing MobileNet via Evolution-based Searching

CVPR, pp. 13417-13426, 2020.

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We introduced a novel algorithm via evolutionary search to explore group structures aiming at optimizing the trade-off when either using depth-wise or fully convolutional layers in MobileNet

Abstract:

Binary Neural Networks (BNNs), known to be one among the effectively compact network architectures, have achieved great outcomes in the visual tasks. Designing efficient binary architectures is not trivial due to the binary nature of the network. In this paper, we propose a use of evolutionary search to facilitate the construction and t...More

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