AI RESEARCH
DSVM-UNet : Enhancing VM-UNet with Dual Self-distillation for Medical Image Segmentation
arXiv CS.CV
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ArXi:2601.19690v2 Announce Type: replace Vision Mamba models have been extensively researched in various fields, which address the limitations of previous models by effectively managing long-range dependencies with a linear-time overhead. Several prospective studies have further designed Vision Mamba based on UNet(VM-UNet) for medical image segmentation. These approaches primarily focus on optimizing architectural designs by creating complex structures to enhance the model's ability to perceive semantic features.