Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:application |
image classification
object detection semantic segmentation |
| gptkbp:availableOn |
gptkb:TensorFlow
gptkb:PyTorch |
| gptkbp:citation |
high (thousands)
|
| gptkbp:designedFor |
mobile devices
|
| gptkbp:developedBy |
gptkb:Google
|
| gptkbp:digestSize |
224x224
|
| https://www.w3.org/2000/01/rdf-schema#label |
MobileNetV2
|
| gptkbp:improves |
gptkb:MobileNetV1
|
| gptkbp:introducedIn |
2018
|
| gptkbp:notableFeature |
efficient for mobile and embedded vision applications
|
| gptkbp:openSource |
yes
|
| gptkbp:parameter |
3.4 million (for 224x224 input)
|
| gptkbp:publishedIn |
MobileNetV2: Inverted Residuals and Linear Bottlenecks (paper)
|
| gptkbp:relatedTo |
gptkb:MobileNetV3
gptkb:EfficientNet |
| gptkbp:uses |
depthwise separable convolutions
inverted residuals linear bottlenecks |
| gptkbp:bfsParent |
gptkb:MobileNet
|
| gptkbp:bfsLayer |
6
|