ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:affiliation |
Megvii Inc. (Face++)
|
| gptkbp:application |
image classification
object detection |
| gptkbp:arXivID |
1707.01083
|
| gptkbp:author |
gptkb:Xiangyu_Zhang
gptkb:Jian_Sun gptkb:Mengxiao_Lin gptkb:Xinyu_Zhou |
| gptkbp:citation |
high
|
| gptkbp:field |
computer vision
deep learning |
| gptkbp:focusesOn |
mobile devices
|
| gptkbp:influenced |
efficient neural network design
|
| gptkbp:introduced |
channel shuffle operation
pointwise group convolution |
| gptkbp:proposedBy |
ShuffleNet architecture
|
| gptkbp:publicationDate |
gptkb:arXiv
|
| gptkbp:publicationYear |
2017
|
| gptkbp:title |
gptkb:ShuffleNet:_An_Extremely_Efficient_Convolutional_Neural_Network_for_Mobile_Devices
|
| gptkbp:bfsParent |
gptkb:ShuffleNet
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
|