|
gptkbp:instanceOf
|
gptkb:convolutional_neural_network
|
|
gptkbp:accuracy
|
state-of-the-art (as of 2019)
|
|
gptkbp:application
|
image recognition
medical imaging
transfer learning
object detection
|
|
gptkbp:author
|
gptkb:Mingxing_Tan
gptkb:Quoc_V._Le
|
|
gptkbp:availableOn
|
gptkb:PyTorch_Hub
gptkb:TensorFlow_Hub
|
|
gptkbp:basedOn
|
gptkb:EfficientNet-B0
|
|
gptkbp:citation
|
high
|
|
gptkbp:designedFor
|
image classification
|
|
gptkbp:developedBy
|
gptkb:Google_AI
|
|
gptkbp:hasVariant
|
gptkb:EfficientNet-B1
gptkb:EfficientNet-B2
gptkb:EfficientNet-B3
gptkb:EfficientNet-B4
gptkb:EfficientNet-B5
gptkb:EfficientNet-B6
gptkb:EfficientNet-B7
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
EfficientNet
|
|
gptkbp:improves
|
gptkb:ResNet
gptkb:DenseNet
gptkb:Inception-v4
|
|
gptkbp:introducedIn
|
2019
|
|
gptkbp:license
|
Apache 2.0
|
|
gptkbp:notableFor
|
balancing accuracy and efficiency
model scaling method
|
|
gptkbp:notablePublication
|
gptkb:EfficientNet:_Rethinking_Model_Scaling_for_Convolutional_Neural_Networks
|
|
gptkbp:openSource
|
yes
|
|
gptkbp:parameterEfficiency
|
high
|
|
gptkbp:publicationDate
|
gptkb:ICML_2019
|
|
gptkbp:relatedTo
|
gptkb:MobileNetV3
gptkb:EfficientNetV2
|
|
gptkbp:resolution
|
varies by variant
|
|
gptkbp:scalingMethod
|
compound scaling
|
|
gptkbp:uses
|
MBConv blocks
Squeeze-and-Excitation optimization
|
|
gptkbp:bfsParent
|
gptkb:convolutional_neural_network
|
|
gptkbp:bfsLayer
|
5
|