Statements (32)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Convolutional Neural Network architecture
|
| gptkbp:activatedBy |
gptkb:GELU
|
| gptkbp:architecture |
Hierarchical
|
| 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:family |
gptkb:ConvNeXt
|
| https://www.w3.org/2000/01/rdf-schema#label |
ConvNeXt-XL
|
| gptkbp:improves |
gptkb:ResNet-152
EfficientNet-L2 Swin Transformer-L |
| gptkbp:inspiredBy |
gptkb:Vision_Transformer
|
| gptkbp:introducedIn |
2022
|
| gptkbp:normalization |
gptkb:LayerNorm
|
| gptkbp:notablePublication |
A ConvNet for the 2020s
https://arxiv.org/abs/2201.03545 |
| gptkbp:numberOfStages |
4
|
| gptkbp:parameter |
350M
|
| gptkbp:platform |
gptkb:TensorFlow
gptkb:PyTorch |
| gptkbp:repository |
https://github.com/facebookresearch/ConvNeXt
|
| gptkbp:resolution |
384x384
|
| gptkbp:trainer |
ImageNet-1K
ImageNet-22K |
| gptkbp:usedFor |
gptkb:Computer_Vision
Image Classification |
| gptkbp:bfsParent |
gptkb:ConvNeXt
|
| gptkbp:bfsLayer |
8
|