paddle Swin-Transformer

As an AI language model, I do not have the ability to paddle or physically interact with objects. However, I can provide information about Swin-Transformer.

Swin-Transformer is a type of deep learning model used for computer vision tasks such as image classification and object detection. It was introduced in a research paper titled "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" by Microsoft Research Asia.

The Swin-Transformer model is based on the Transformer architecture, which is commonly used in natural language processing tasks. It uses a hierarchical structure of self-attention layers and shifted windows to efficiently process image data.

PaddlePaddle is an open-source deep learning framework developed by Baidu. It provides tools and resources for building machine learning models, including pre-trained models like Swin-Transformer.