| | --- |
| | library_name: litert |
| | base_model: timm/swin_tiny_patch4_window7_224.ms_in1k |
| | tags: |
| | - vision |
| | - image-classification |
| | datasets: |
| | - imagenet-1k |
| | --- |
| | |
| | # swin_tiny_patch4_window7_224 |
| |
|
| | Converted TIMM image classification model for LiteRT. |
| |
|
| | - Source architecture: swin_tiny_patch4_window7_224 |
| | - File: model.tflite |
| |
|
| | ## Model Details |
| |
|
| | - **Model Type:** Image classification / feature backbone |
| | - **Model Stats:** |
| | - Params (M): 28.3 |
| | - GMACs: 4.5 |
| | - Activations (M): 17.1 |
| | - Image size: 224 x 224 |
| | - **Papers:** |
| | - Swin Transformer: Hierarchical Vision Transformer using Shifted Windows: https://arxiv.org/abs/2103.14030 |
| | - **Original:** https://github.com/microsoft/Swin-Transformer |
| | - **Dataset:** ImageNet-1k |
| |
|
| | ## Citation |
| |
|
| | ```bibtex |
| | @inproceedings{liu2021Swin, |
| | title={Swin Transformer: Hierarchical Vision Transformer using Shifted Windows}, |
| | author={Liu, Ze and Lin, Yutong and Cao, Yue and Hu, Han and Wei, Yixuan and Zhang, Zheng and Lin, Stephen and Guo, Baining}, |
| | booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, |
| | year={2021} |
| | } |
| | ``` |
| | ```bibtex |
| | @misc{rw2019timm, |
| | author = {Ross Wightman}, |
| | title = {PyTorch Image Models}, |
| | year = {2019}, |
| | publisher = {GitHub}, |
| | journal = {GitHub repository}, |
| | doi = {10.5281/zenodo.4414861}, |
| | howpublished = {\url{https://github.com/huggingface/pytorch-image-models}} |
| | } |
| | ``` |
| |
|
