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Swin Transformer Series by Microsoft
A family of hierarchical vision transformer models utilizing shifted windows for efficient and scalable image processing.
• Includes Swin Transformer V1 and V2, supporting models up to 3 billion parameters
• Achieves state-of-the-art performance on tasks like image classification, object detection, semantic segmentation, and video action recognition
• Employs a shifted window approach for improved efficiency and scalability
• Adaptable to various vision tasks with minimal modifications
• Open-source implementations available for research and development
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