In this article, MinConvNets where the multiplications in the forward propagation path of CNNs are approximated by minimum comparator operations are introduced.
Jan 23, 2021 · In this article, MinConvNets where the multiplications in the forward propagation are approximated by minimum comparator operations are ...
This article shows that it is possible to replace multipliers by minimum operations in the forward propagation under certain constraints, i.e. given similar ...
MinConvNets: A new class of multiplication-less Neural Networks ... Convolutional Neural Networks have achieved unprecedented success in image classification, ...
ABSTRACT. In this article, MinConvNets where the multiplications in the forward propagation path of CNNs are approximated by minimum.
Jan 23, 2021 · MinConvNet can achieve negligible loss of prediction compared to exact image classification networks through transfer learning, meanwhile the ...
Jan 23, 2021 · MinConvNets: A new class of multiplication-less Neural Networks. Xuecan Yang, Sumanta Chaudhuri, Laurence Likforman, Lirida Naviner. LTCI ...
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MinConvNets: A new class of multiplication-less Neural Networks ... We show that it is possible to replace multipliers by minimum operations in the forward ...
MinConvNets: A new class of multiplication-less Neural Networks. Xuecan Yang, Sumanta Chaudhuri, Laurence Likforman, Lirida Naviner de Barros, Telecom Paris ...
MinConvNets: A new class of multiplication-less Neural Networks. X Yang, S Chaudhuri, L Likforman, L Naviner. 2022 IEEE International Conference on Image ...