README.md

metadata

tags:
  - image-classification
  - timm
library_tag: timm
license: cc-by-nc-4.0

Model card for convnextv2_base.fcmae_ft_in22k_in1k_384

A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-22k and then ImageNet-1k.

Model Details

• Model Type: Image classification / feature backbone
• Paper: ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

Citation

@article{Woo2023ConvNeXtV2,
  title={ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders},
  author={Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon and Saining Xie},
  year={2023},
  journal={arXiv preprint arXiv:2301.00808},
}