README.md

metadata

title: Iwin Transformer Image Classification
emoji: 🪟
colorFrom: blue
colorTo: pink
sdk: gradio
sdk_version: 6.26.0
app_file: app.py
short_description: Iwin Transformer for ImageNet image classification
python_version: '3.12'
startup_duration_timeout: 30m

Iwin Transformer — ImageNet Classification

This Space demonstrates Iwin Transformer, a hierarchical vision transformer that uses interleaved windows and depthwise separable convolution for efficient global information exchange within a single module.

Model

• Paper: Iwin Transformer: Hierarchical Vision Transformer using Interleaved Windows
• Code: GitHub
• Weights: HuggingFace

The model is trained on ImageNet-1k (with 22k pretraining for the base variant) and classifies images into 1000 ImageNet categories.

Variants

Variant	Params	Top-1 Acc	Checkpoint
Tiny	~28M	81.2%	iwin_tiny_patch4_window7_224.pth
Small	~50M	83.5%	iwin_small_patch4_window7_224.pth
Base	~88M	85.2%	iwin_base_patch4_window7_224_22kto1k.pth

Citation

@misc{huo2025iwin,
      title={Iwin Transformer: Hierarchical Vision Transformer using Interleaved Windows},
      author={Simin Huo and Ning Li},
      year={2025},
      eprint={2507.18405},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2507.18405},
}