Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:application |
image classification
object detection mobile vision tasks |
| gptkbp:author |
gptkb:Xiangyu_Zhang
gptkb:Jian_Sun Hai-Tao Zheng Ningning Ma |
| gptkbp:bench |
gptkb:ImageNet
|
| gptkbp:designedFor |
efficient computation on mobile devices
|
| gptkbp:developedBy |
gptkb:Megvii_(Face++)
|
| gptkbp:digestSize |
224x224
|
| gptkbp:feature |
lightweight design
channel shuffle channel split improved speed-accuracy tradeoff |
| https://www.w3.org/2000/01/rdf-schema#label |
ShuffleNet v2
|
| gptkbp:introducedIn |
2018
|
| gptkbp:notableFor |
real-time inference
low computational cost high efficiency on ARM devices |
| gptkbp:notablePublication |
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
|
| gptkbp:openSource |
yes
|
| gptkbp:predecessor |
gptkb:ShuffleNet
|
| gptkbp:publishedIn |
ECCV 2018
|
| gptkbp:repository |
https://github.com/megvii-model/ShuffleNet-Series
|
| gptkbp:bfsParent |
gptkb:ShuffleNet
|
| gptkbp:bfsLayer |
7
|