U-Mamba is a hybrid CNN-SSM architecture that outperforms prior CNN and Transformer networks on biomedical image segmentation tasks by efficiently modeling long-range dependencies.
IEEE Transactions on Pattern Analysis and Machine Intelligence44(7), 3523–3542 (2021) 1
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U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
U-Mamba is a hybrid CNN-SSM architecture that outperforms prior CNN and Transformer networks on biomedical image segmentation tasks by efficiently modeling long-range dependencies.