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gptkbp:instanceOf
|
gptkb:convolutional_neural_network
deep learning model architecture
|
|
gptkbp:activatedBy
|
gptkb:GELU
|
|
gptkbp:architecture
|
hierarchical
pure convolutional
|
|
gptkbp:author
|
gptkb:Zhuang_Liu
|
|
gptkbp:bench
|
gptkb:ImageNet
|
|
gptkbp:citation
|
high (hundreds to thousands)
|
|
gptkbp:developedBy
|
gptkb:Facebook_AI_Research
|
|
gptkbp:hasVariant
|
gptkb:ConvNeXt-Base
gptkb:ConvNeXt-Large
gptkb:ConvNeXt-Small
gptkb:ConvNeXt-Tiny
gptkb:ConvNeXt-XL
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
ConvNeXt
|
|
gptkbp:improves
|
gptkb:ResNet
gptkb:EfficientNet
ResNet design
|
|
gptkbp:inspiredBy
|
gptkb:Vision_Transformer
|
|
gptkbp:introducedIn
|
2022
|
|
gptkbp:normalization
|
gptkb:LayerNorm
|
|
gptkbp:notableFeature
|
scalable architecture
competitive with transformers
modernized ConvNet design
|
|
gptkbp:notablePublication
|
A ConvNet for the 2020s
|
|
gptkbp:openSource
|
yes
|
|
gptkbp:platform
|
gptkb:TensorFlow
gptkb:PyTorch
|
|
gptkbp:publishedIn
|
gptkb:arXiv
|
|
gptkbp:usedFor
|
computer vision
image classification
|
|
gptkbp:bfsParent
|
gptkb:Hugo_Touvron
|
|
gptkbp:bfsLayer
|
7
|