Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
gptkb:convolutional_neural_network |
| gptkbp:activatedBy |
gptkb:GELU
|
| gptkbp:author |
gptkb:Zhuang_Liu
gptkb:Trevor_Darrell gptkb:Saining_Xie gptkb:Chao-Yuan_Wu gptkb:Christoph_Feichtenhofer gptkb:Hanzi_Mao |
| gptkbp:developedBy |
gptkb:Facebook_AI_Research
|
| gptkbp:digestSize |
224x224
|
| gptkbp:hasModel |
gptkb:ConvNeXt
|
| https://www.w3.org/2000/01/rdf-schema#label |
ConvNeXt-Base
|
| gptkbp:inspiredBy |
gptkb:Vision_Transformer
|
| gptkbp:license |
gptkb:MIT_License
|
| gptkbp:maximumDepth |
50
|
| gptkbp:normalization |
gptkb:LayerNorm
|
| gptkbp:notablePublication |
A ConvNet for the 2020s
https://arxiv.org/abs/2201.03545 |
| gptkbp:optimizer |
gptkb:AdamW
|
| gptkbp:parameter |
88M
|
| gptkbp:platform |
gptkb:TensorFlow
gptkb:PyTorch |
| gptkbp:releaseYear |
2022
|
| gptkbp:trainer |
ImageNet-1K
|
| gptkbp:usedFor |
image classification
|
| gptkbp:bfsParent |
gptkb:ConvNeXt
|
| gptkbp:bfsLayer |
8
|