图2展示了作者丰富Mamba层U-Net架构。 SegMamba。最初提出的集成包括在每个池化卷积之前插入一个单向(单向)Mamba Layer,以及U-Net的瓶 Neck 分。这种战略位置旨在提高整体上下文理解,解决卷积在全局上下文中常常遇到的固有限制,同时限制额外参数的数量。 SegMambaSkip。U-Net架构的一个普遍认可的优势是其跳过的连接[3...
一句话总结MambaClinix:一种3D医学图像分割新网络,引入分层门控卷积和基于Mamba的U-Net,在保持低模型复杂度的同时实现了高分割精度,代码即将开源! 点击关注 @CVer官方知乎账号,可以第一时间看到最优质、最前…
为了促进通道间的信息流动,MambaMixer [16]引入了通道混合的Mamba模块到图像识别和时间序列预测中。然而,现有的U形Mamba架构并没有集成通道SSM模块,这对于在丰富的通道维度上下文中压缩和重建特征至关重要。在这项工作中,作者提出了一种高效且有效的双向Mamba U-Net,它在图像恢复过程中同时考虑了全局上下文和通道相关...
为了促进通道间的信息流动,MambaMixer [16]引入了通道混合的Mamba模块到图像识别和时间序列预测中。然而,现有的U形Mamba架构并没有集成通道SSM模块,这对于在丰富的通道维度上下文中压缩和重建特征至关重要。在这项工作中,作者提出了一种高效且有效的双向Mamba U-Net,它在图像恢复过程中同时考虑了全局上下文和通道相关...
To address these issues, we propose a U-shaped encoder-decoder network MM-UNet based on Mamba and CNN for prostate segmentation in MR images. Specifically, we first proposed an adaptive feature fusion module based on channel attention guidance to achieve effective fusion between adjacent hierarchical...
UVM-NetU-shaped Vision Mamba for Single Image Dehazing AbstractCurrently, Transformer is the most popular architecture for image dehazing, but due to its large computational complexity, its ability to handle long-range dependency is limited on resource-constrained devices. To tackle this challenge, we...
在医学图像分割领域,Mamba凭借其强大的长距离信息交互能力与线性时间复杂度,已经成为与CNN、Transformer三足鼎立的重要技术。与CNN和Transformer相比,Mamba不仅能够高效处理长序列数据,减少内存需求,还能实现更快的推理速度。最新的研究也证实了Mamba在医学领域的广泛应用前景。例如,有研究提出了基于Mamba的U-Net变体,如Seg...
To address these challenges, we introduce CMU-Net, a novel hybrid architecture that combines the strengths of U-Net, Mamba blocks (SSMs), and Convolutional Block Attention Modules (CBAM). U-Net provides a strong foundation for feature extraction, Mamba blocks efficiently capture long-range ...
UVMSR: a novel approach to hyperspectral image super-resolution by fusing U-Net and MambaTing TangWeihong YanGeli BaiXin PanJiangping Liu
UVMSR: a novel approach to hyperspectral image super-resolution by fusing U-Net and MambaView further author informationJiangping LiuView further author informationpxffyfx@126.comXin PanView further author informationGeli BaiView further author information...