metadata

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

Model card for convnextv2_base.fcmae

A ConvNeXt-V2 self-supervised feature representation model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE). This model has no pretrained head and is only useful for fine-tune or feature extraction.

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},
}