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convnextv2_base.inat21_384
BBracke/convnextv2_base.inat21_384
convnextv2_base.inat21_384 is a machine learning model from BBracke. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders: https://arxiv.org/abs/2301.00808
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Updated Apr 14, 2023
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At a glance
- Access
- Public
- Created
- Apr 14, 2023
- Updated
- Apr 14, 2023
- SHA
- 01c14c4d
Datasets
Model card
From the Hugging Face model README
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders: https://arxiv.org/abs/2301.00808
Pre-Trained Model from timm-library: https://huggingface.co/timm/convnextv2_base.fcmae_ft_in22k_in1k_384
INaturalist-21 fine-tune dataset: https://github.com/visipedia/inat_comp/tree/master/2021
References:
Sanghyun Woo, I., & Saining Xie (2023). ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. arXiv preprint arXiv:2301.00808.
Ross Wightman. (2019). PyTorch Image Models.
- Created
- Apr 14, 2023
- Updated
- Apr 14, 2023