--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k metrics: - accuracy --- # Model card for hb_former_s18 The model hb_former_s18 is part of the HyenaPixel model family proposed in the paper ["HyenaPixel: Global Image Context with Convolutions"](https://arxiv.org/abs/2402.19305). HyenaPixel uses large convolutions as an attention replacement by extending Hyena ([Paper](https://arxiv.org/abs/2302.10866) and [GitHub](https://github.com/HazyResearch/safari/)) to support bidirectrional and two-dimensional input. The operator is integrated in the MetaFormer ([Paper](https://arxiv.org/abs/2210.13452) and [GitHub](https://github.com/sail-sg/metaformer)) framework. The official PyTorch implementation of HyenaPixel can be found on [GitHub](https://github.com/spravil/HyenaPixel). ## Models | Model | Resolution | Params | Top1 Acc | Download | | :----------------- | :--------: | :----: | :------: | :--------------------------------------------------------------------------: | | hpx_former_s18 | 224 | 29M | 83.2 | [HuggingFace](https://huggingface.co/Spravil/hpx_former_s18.westai_in1k) | | hpx_former_s18_384 | 384 | 29M | 84.7 | [HuggingFace](https://huggingface.co/Spravil/hpx_former_s18.westai_in1k_384) | | hb_former_s18 | 224 | 28M | 83.5 | [HuggingFace](https://huggingface.co/Spravil/hb_former_s18.westai_in1k) | | c_hpx_former_s18 | 224 | 28M | 83.0 | [HuggingFace](https://huggingface.co/Spravil/c_hpx_former_s18.westai_in1k) | | hpx_a_former_s18 | 224 | 28M | 83.6 | [HuggingFace](https://huggingface.co/Spravil/hpx_a_former_s18.westai_in1k) | | hb_a_former_s18 | 224 | 27M | 83.2 | [HuggingFace](https://huggingface.co/Spravil/hb_a_former_s18.westai_in1k) | | hpx_former_b36 | 224 | 111M | 84.9 | [HuggingFace](https://huggingface.co/Spravil/hpx_former_b36.westai_in1k) | | hb_former_b36 | 224 | 102M | 85.2 | [HuggingFace](https://huggingface.co/Spravil/hb_former_b36.westai_in1k) | ## Usage ``` pip install git+https://github.com/spravil/HyenaPixel.git ``` ```python import timm import hyenapixel.models model = timm.create_model("hb_former_s18", pretrained=True) ``` # Bibtex ``` @article{spravil2024hyenapixel, title={HyenaPixel: Global Image Context with Convolutions}, author={Julian Spravil and Sebastian Houben and Sven Behnke}, journal={arXiv preprint arXiv:2402.19305}, year={2024}, } ```