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An efficient solution for semantic segmentation: ShuffleNet V2 with
  atrous separable convolutions

An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions

20 February 2019
Sercan Turkmen
J. Heikkilä
    SSeg
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Papers citing "An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions"

1 / 1 papers shown
Title
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
230
2,056
0
07 Jun 2016
1