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This paper presents a new vision Transformer, called , that capably serves as a general-purpose backbone for computer vision. In contrast to previous Vision Transformers (like ViT) that produce a single resolution feature map and have quadratic complexity with input image size, the Swin Transformer constructs a hierarchical feature map and has linear computational complexity with image size.

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