在图2(b)中,从输入的深度特征开始,作者首先应用层归一化(LayerNorm, LN),然后使用高效状态空间模块(Efficient State Space Module, ESSM)(()) 来捕捉空间上的长期依赖关系。 由于SSMs将扁平化的特征图作为1D Token 序列处理,所选择的扁平化策略显著影响了序列中相邻像素的数量。例如,在使用四方向展开策略时, ...
While CNNs are efficient, their receptive fields are limited, restricting their capacity to capture global context. Conversely, Transformers excel at learning global information but are hindered by their quadratic complexity. Fortunately, recent advancements in the State Space Model (SSM), particularly ...
Specifically, we devise an improved efficient Mamba model for image fusion, integrating efficient visual state space model with dynamic convolution and channel attention. This refined model not only upholds the performance of Mamba and global modeling capability but also diminishes channel redundancy while...
In this work, we propose an audio-visual progressive fusion Mamba model for efficient multimodal depression detection, termed DepMamba. Specifically, the DepMamba features two core designs: hierarchical contextual modeling and progressive multimodal fusion. First, we introduce CNN and Mamba blocks to ...
SEDMamba: Enhancing Selective State Space Modelling with Bottleneck Mechanism and Fine-to-Coarse Temporal Fusion for Efficient Error Detection in Robot-Assisted Surgery Jialang Xu, Nazir Sirajudeen, Matthew Boal, Nader Francis, Danail Stoyanov, Evangelos B. Mazomenos...
adding gate-controlled feature fusion modules, and incorporating the anchor-free head from YOLOX, the model’s overall performance experienced a significant enhancement. These modifications not only improved accuracy but also maintained efficient processing, showcasing the effectiveness of the proposed archi...
Linear: linear function; DwConv: depthwise separable convolution; SiLU: SiLU activation function; ES2D: the efficient 2D scanning Figure 3 Dynamic feature fusion module (DFFM). Dn1 and Dn2 are features; Fn1 and Fn2 are different modal features; Fnf is a coarse-grained feature fusion. ⊕ is...
Specifically, we devise an improved efficient Mamba model for image fusion, integrating efficient visual state space model with dynamic convolution and channel attention. This refined model not only upholds the performance of Mamba and global modeling capability but also diminishes channel redundancy while...
These results validate our approach's effectiveness in preserving similarity structure and enhancing retrieval performance through comprehensive feature utilization and efficient semantic capture. The source code of our FMTH framework is publicly available at https://github.com/cslxju/FMTH .Jiayi Chen...
FusionMamba: Efficient Image Fusion with State Space Model Image fusion aims to generate a high-resolution multi/hyper-spectral image by combining a high-resolution image with limited spectral information and a low... S Peng,X Zhu,H Deng,... 被引量: 0发表: 2024年 A Novel Mamba Architecture...