Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:citation |
high
|
| gptkbp:designedFor |
mobile and embedded vision applications
|
| gptkbp:developedBy |
gptkb:Google
|
| gptkbp:frameworkSupport |
gptkb:TensorFlow
gptkb:Keras gptkb:PyTorch |
| gptkbp:hasVersion |
gptkb:MobileNetV1
gptkb:MobileNetV2 gptkb:MobileNetV3 |
| https://www.w3.org/2000/01/rdf-schema#label |
MobileNet neural network
|
| gptkbp:introducedIn |
2017
|
| gptkbp:notableFeature |
resolution multiplier
trade-off between latency and accuracy width multiplier |
| gptkbp:openSource |
yes
|
| gptkbp:optimizedFor |
low-latency
low-power consumption |
| gptkbp:parameter |
relatively low
|
| gptkbp:publishedIn |
arXiv:1704.04861
|
| gptkbp:relatedTo |
gptkb:SqueezeNet
gptkb:EfficientNet gptkb:ShuffleNet |
| gptkbp:usedFor |
image classification
object detection semantic segmentation |
| gptkbp:uses |
depthwise separable convolutions
|
| gptkbp:bfsParent |
gptkb:KPU_(Kendryte_Processing_Unit)
|
| gptkbp:bfsLayer |
7
|