most citedFilter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2020

Channel Planting for Deep Neural Networks using Knowledge Distillation

Kakeru Mitsuno, Yuichiro Nomura, Takio Kurita

In recent years, deeper and wider neural networks have shown excellent performance in computer vision tasks, while their enormous amount of parameters results in increased computat…

cs.CV2020★ 2 cited

Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks

Kakeru Mitsuno, Takio Kurita

Since the convolutional neural networks are often trained with redundant parameters, it is possible to reduce redundant kernels or filters to obtain a compact network without dropp…

cs.CV2020

Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks

Kakeru Mitsuno, Junichi Miyao, Takio Kurita

In a deep neural network (DNN), the number of the parameters is usually huge to get high learning performances. For that reason, it costs a lot of memory and substantial computatio…