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Keyword: feature maps ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   On the Information of Feature Maps and Pruning of Deep Neural Networks

   Soltani, Wu, Ding, Ravier and Tarokh · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 2021

   The paper proposes pruning redundant layers of deep networks using mutual information between feature maps and model output, reporting competitive compression on three image data sets.

   Unchecked1 claim
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   1. UncheckedExperiments on CIFAR-10, CIFAR-100 and Tiny ImageNet show the proposed pruning method can shrink deep models in both parameter count and operations.“Extensive numerical experiments on both CIFAR-10, CIFAR-100, and Tiny ImageNet data sets demonstrate that the proposed method can be effective in compressing deep models, both in terms of the numbers of parameters and operations.”