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One Step Forward Single-stair reform has energized North American architects. But efforts to update the building code show how slow-moving our bureaucracies can be.

Figure 2 depicted architecture of the modified generator used in this study. Recently, Swin-UNETR has gained prominence in medical image segmentation tasks, achieving state-of-the-art results on ...

Transformers gained tremendous popularity in computer vision community, and have been successfully applied to such classical tasks as image classification, object detection, and semantic segmentation.

To overcome this limitation, we introduce Swin Soft Mixture Transformer (Swin SMT), a novel architecture based on Swin UNETR. This model incorporates a Soft Mixture-of-Experts (Soft MoE) to ...

Describe the bug The provided pre-trained Swin-UNETR weights do not load into a newly instantiated SSLHead model object. The naming scheme for the model state_dict keys is different between the ...