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Chalmers University of Technology, 412 96, Gothenburg, Sweden, Zenseact, Lindholmspiren 2, 417 56, Gothenburg, Sweden
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Inception-style convolutions can significantly boost the performance of Swin Transformers on medical image segmentation, challenging the assumption that attention alone is sufficient for optimal performance.
