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gptkbp:instanceOf
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gptkb:convolutional_neural_network
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gptkbp:arXivID
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1704.04861
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gptkbp:author
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gptkb:Bo_Chen
gptkb:Andrew_G._Howard
gptkb:Dmitry_Kalenichenko
gptkb:Hartwig_Adam
gptkb:Menglong_Zhu
gptkb:Weijun_Wang
James Shlens
Lanqing Jiang
Tianrang Wang
Xiaoqiang Chen
Yuanhao Xiong
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gptkbp:category
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gptkb:model
computer vision model
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gptkbp:designedFor
|
mobile devices
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gptkbp:developedBy
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gptkb:Google
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gptkbp:digestSize
|
224x224
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|
https://www.w3.org/2000/01/rdf-schema#label
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MobileNetV1
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gptkbp:introducedIn
|
2017
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gptkbp:license
|
Apache 2.0
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gptkbp:notableFeature
|
lightweight architecture
trade-off between accuracy and latency
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gptkbp:notablePublication
|
gptkb:MobileNets:_Efficient_Convolutional_Neural_Networks_for_Mobile_Vision_Applications
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gptkbp:optimizedFor
|
low-power devices
low-latency inference
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|
gptkbp:parameter
|
4.2 million (for 1.0 MobileNet-224)
|
|
gptkbp:platform
|
gptkb:TensorFlow
gptkb:Keras
gptkb:PyTorch
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|
gptkbp:predecessor
|
gptkb:MobileNetV2
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gptkbp:publishedIn
|
gptkb:arXiv
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gptkbp:usedFor
|
face recognition
image classification
object detection
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gptkbp:uses
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depthwise separable convolutions
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gptkbp:bfsParent
|
gptkb:MobileNet
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gptkbp:bfsLayer
|
6
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