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gptkbp:instanceOf
|
gptkb:convolutional_neural_network
|
|
gptkbp:activatedBy
|
gptkb:Swish
|
|
gptkbp:author
|
gptkb:Mingxing_Tan
gptkb:Quoc_V._Le
|
|
gptkbp:backboneFor
|
transfer learning
|
|
gptkbp:developedBy
|
gptkb:Google_AI
|
|
gptkbp:displayType
|
300x300
|
|
gptkbp:hasPaperTitle
|
gptkb:EfficientNet:_Rethinking_Model_Scaling_for_Convolutional_Neural_Networks
|
|
gptkbp:improves
|
gptkb:Inception-v4
gptkb:ResNet-152
|
|
gptkbp:introducedIn
|
2019
|
|
gptkbp:maximumDepth
|
40 layers
|
|
gptkbp:parameter
|
12 million
|
|
gptkbp:partOf
|
EfficientNet family
|
|
gptkbp:pretrainedWeightsAvailable
|
gptkb:ImageNet
|
|
gptkbp:publishedIn
|
gptkb:ICML_2019
|
|
gptkbp:relatedTo
|
gptkb:EfficientNet-B0
gptkb:EfficientNet-B1
gptkb:EfficientNet-B2
gptkb:EfficientNet-B4
gptkb:EfficientNet-B5
gptkb:EfficientNet-B6
gptkb:EfficientNet-B7
|
|
gptkbp:resolution
|
300x300
|
|
gptkbp:scalingMethod
|
compound scaling
|
|
gptkbp:usedFor
|
image classification
|
|
gptkbp:uses
|
MBConv blocks
Squeeze-and-Excitation optimization
|
|
gptkbp:width
|
48 channels
|
|
gptkbp:bfsParent
|
gptkb:EfficientNet
|
|
gptkbp:bfsLayer
|
8
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
EfficientNet-B3
|