Convnext large
The classification variant of the ConvNeXt Large architecture.
| Architecture Variable | Value |
|---|---|
| Key in architecture_dict | "2D.ConvNeXtLarge" |
| Input_shape | (384x384) |
| Standardization | None |
Recommended alternative Input_shape is 224x224 pixels.
Warning
ConvNeXt models expect their inputs to be float or uint8 tensors of pixels with values in the [0-255] range. Standardization is applied inside the architecture.
Reference - Implementation
https://www.tensorflow.org/api_docs/python/tf/keras/applications/convnext
Reference - Publication
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie.
10 Jan 2022. A ConvNet for the 2020s.
https://arxiv.org/abs/2201.03545