BBracke/convnextv2_base.inat21_384

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.