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--- |
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tags: |
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- image-classification |
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- timm |
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library_tag: timm |
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license: cc-by-nc-4.0 |
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--- |
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# Model card for convnextv2_base.fcmae_ft_in22k_in1k_384 |
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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. |
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## Model Details |
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- **Model Type:** Image classification / feature backbone |
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- **Paper:** [**ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders**](http://arxiv.org/abs/2301.00808) |
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## Citation |
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``` |
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@article{Woo2023ConvNeXtV2, |
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title={ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders}, |
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author={Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon and Saining Xie}, |
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year={2023}, |
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journal={arXiv preprint arXiv:2301.00808}, |
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} |
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``` |
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