Statements (35)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:author |
gptkb:Li_Zhu
gptkb:Andrew_Howard Yukun Zhu Andrey Zhmoginov Grace Chu Mark Sandler |
| gptkbp:availableOn |
gptkb:TensorFlow
gptkb:Keras gptkb:PyTorch |
| gptkbp:designedFor |
mobile devices
|
| gptkbp:developedBy |
gptkb:Google
|
| gptkbp:hasVariant |
MobileNetV3-Large
MobileNetV3-Small |
| gptkbp:improves |
gptkb:MobileNetV1
gptkb:MobileNetV2 |
| gptkbp:introducedIn |
2019
|
| gptkbp:optimizedFor |
efficiency
low-latency on-device vision applications |
| gptkbp:partOf |
MobileNet family
|
| gptkbp:predecessor |
gptkb:MobileNetV2
|
| gptkbp:publishedIn |
arXiv:1905.02244
|
| gptkbp:trainer |
gptkb:ImageNet
|
| gptkbp:usedFor |
image classification
object detection semantic segmentation |
| gptkbp:uses |
depthwise separable convolutions
hard-swish activation function squeeze-and-excitation modules |
| gptkbp:bfsParent |
gptkb:MobileNetV2
gptkb:MobileNet gptkb:EfficientNet |
| gptkbp:bfsLayer |
8
|
| https://www.w3.org/2000/01/rdf-schema#label |
MobileNetV3
|