3.Mamba的整合:Mamba模型的整合帮助捕捉长距离依赖特征,同时保持计算的高效性,这对于处理高维图像数据至关重要。 4.损失函数设计:结合强度损失、纹理损失和结构损失的损失函数,确保了在训练过程中保留关键视觉细节,如对比度、边缘信息和整体结构的相似性。 FusionMamba网络架构 FusionMamba 在一般融合过程包括三个关键组件...
如表格2所示,在与基于相同YOLOv5 Backbone 网的SOTA方法以及作者基于YOLOv8 Backbone 网的方法进行比较时,作者的Fusion-Mamba在所有类别上的AP和AP指标上表现最佳,并且在_People_, _Bus Motorcycle_和_Truck_类别上实现了新的SOTA结果,同时AP和AP指标进一步提升了和。此外,尽管YOLOv5的特征表示能力低于YOLOv7,但使用...
与现有的融合方法不同,作者构建了Fusion-Mamba模块,用于在隐空间中对不同模态进行对齐,从而显著提升目标检测性能,最高可达5.9%。本文提出了一种新颖的Fusion-Mamba方法,用于跨模态目标检测任务。该方法通过State Space Channel Swapping (SSCS)模块和Dual State Space Fusion (DSSF)模块,实现了多模态特征的有效融合。...
In this paper, we propose FusionMamba, a novel dynamic feature enhancement method for multimodal image fusion with Mamba. Specifically, we devise an improved efficient Mamba model for image fusion, integrating efficient visual state space model with dynamic convolution and channel attention. This ...
FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba - millieXie/FusionMamba
We design a Fusion-Mamba block (FMB) to map cross-modal features into a hidden state space for interaction, thereby reducing disparities between cross-modal features and enhancing the representation consistency of fused features. FMB contains two modules: the State Space Channel Swapping (SSCS) ...
FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba - FusionMamba/logger.py at main · millieXie/FusionMamba
39耐克mamba focus和彪马fusion nitro对比,选哪个好,各有什么优缺点,区别是什么,来看看各资深篮球爱好者对耐克mamba focus和彪马fusion nitro的专业解读。 耐克mamba focus于2019年8月上市发售,是一款专为后卫以及小前锋打造的实战球鞋,整体配置采用全掌Phylon+前掌Zoom Air气垫,整体脚感偏硬,鞋身采用轻薄网布,非常的...
Mamba-driven cross-modal fusion network for RGB-D SOD, named MambaSOD. Specifically, we first employ a dual Mamba-driven feature extractor for both RGB and depth to model the long-range dependencies in multiple modality inputs with linear complexity. Then, we design a cross-modal fusion Mamba...
we propose a Mamba-based Dual-phase Fusion (MambaDFuse) model. Firstly, a dual-level feature extractor is designed to capture long-range features from single-modality images by extracting low and high-level features from CNN and Mamba blocks. Then, a dual-phase feature fusion module is propos...