A distinguishing feature of our LKM-UNet is its utilization of large Mamba kernels, excelling in locally spatial modeling compared to small kernel-based CNNs and Transformers, while maintaining superior efficiency in global modeling compared to self-attention with quadratic complexity. Additionally, we ...
lkmunet README.md Large Kernel Vision Mamba UNet for Medical Image Segmentation Requirements: python 3.10 + torch 2.0.1 + torchvision 0.15.2 (cuda 11.8) If cuda is 11.8 run: pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 -f https://download.pytorch.org/whl/torch_stable.html...
Large Kernel Vision Mamba UNet for Medical Image Segmentation Requirements: python 3.10 + torch 2.0.1 + torchvision 0.15.2 (cuda 11.8) If cuda is 11.8 run: pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 -f https://download.pytorch.org/whl/torch_stable.html ...
To address these challenges, this paper constructs the first SAR rice dataset with spatiotemporal heterogeneity and proposes an explainable, lightweight model for rice area extraction, the eXplainable Mamba UNet (XM-UNet). The dataset is based on the 2023 multi-temporal Sentinel-1 data, covering ...