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gptkbp:instanceOf
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gptkb:convolutional_neural_network
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|
gptkbp:architecture
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gptkb:model
|
|
gptkbp:arXivID
|
1707.01083
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gptkbp:author
|
gptkb:Xiangyu_Zhang
gptkb:Jian_Sun
gptkb:Mengxiao_Lin
gptkb:Xinyu_Zhou
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|
gptkbp:designedFor
|
mobile devices
embedded devices
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gptkbp:developedBy
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gptkb:Megvii_(Face++)
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gptkbp:feature
|
channel shuffle operation
group convolution
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|
gptkbp:goal
|
high accuracy
low memory usage
efficient computation
|
|
gptkbp:hasVersion
|
gptkb:ShuffleNet_v2
|
|
gptkbp:introducedIn
|
2017
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|
gptkbp:notableFor
|
low computational cost
high speed on ARM devices
|
|
gptkbp:notablePublication
|
gptkb:ShuffleNet:_An_Extremely_Efficient_Convolutional_Neural_Network_for_Mobile_Devices
|
|
gptkbp:openSource
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gptkb:TensorFlow
gptkb:Caffe
gptkb:PyTorch
|
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gptkbp:publishedIn
|
gptkb:CVPR_2018
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gptkbp:relatedTo
|
gptkb:SqueezeNet
gptkb:ResNet
gptkb:MobileNet
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|
gptkbp:usedFor
|
computer vision
image classification
object detection
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gptkbp:bfsParent
|
gptkb:Xiangyu_Zhang
|
|
gptkbp:bfsLayer
|
6
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
ShuffleNet
|