Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Convolutional_Neural_Network_architecture
|
| gptkbp:activatedBy |
gptkb:GELU
|
| gptkbp:architecture |
Pure Convolutional
|
| gptkbp:developedBy |
gptkb:Facebook_AI_Research
|
| gptkbp:familyMember |
gptkb:ConvNeXt
|
| gptkbp:frameworkSupport |
gptkb:TensorFlow
gptkb:PyTorch |
| gptkbp:improves |
gptkb:ResNet-50
|
| gptkbp:inspiredBy |
gptkb:Vision_Transformer
|
| gptkbp:introducedIn |
2022
|
| gptkbp:level |
27
|
| gptkbp:normalization |
gptkb:LayerNorm
|
| gptkbp:parameter |
50M
|
| gptkbp:pooling |
Global Average Pooling
|
| gptkbp:pretrainedWeightsAvailable |
Yes
|
| gptkbp:publishedIn |
arXiv:2201.03545
|
| gptkbp:repository |
https://github.com/facebookresearch/ConvNeXt
|
| gptkbp:resolution |
224x224
|
| gptkbp:top1Accuracy |
83.1% (ImageNet-1K)
|
| gptkbp:usedFor |
Image Classification
|
| gptkbp:bfsParent |
gptkb:ConvNeXt
|
| gptkbp:bfsLayer |
8
|
| https://www.w3.org/2000/01/rdf-schema#label |
ConvNeXt-Small
|