FusionMamba模型提出了以下几项关键创新点: 1.动态视觉状态空间模块(DVSS)这是对传统Mamba模型的增强版,旨在改善长距离特征建模,同时保持计算效率。DVSS模块通过动态卷积和高效通道注意力机制,减少通道冗余,提升了局部特征的提取能力。 2.动态特征融合模块(DFFM): 动态特征增强模块(DFEM):该模块通过动态增强纹理细节...
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model Selective and multi-scale fusion Mamba for medical image segmentation MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification 多尺度Mamba具备强大全局建模、高效计算性能、良好可扩展性及...
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 ...
3.所提出的方法在SemanticKITTI-MOS基准测试的验证集和测试集上分别达到了78.5%和80.6%的IoU，超越了最先进的开源MOS模型。文章引用：MV-MOS: Multi-View Feature Fusion for 3D Moving Object Segmentation 最后别忘了，帮忙点“在看”。 您的点赞，在看，是我创作的动力。关注我的公众号auto_driver_ai(Ai ...
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification 方法:论文旨在通过提出一种新的多尺度特征融合Mamba (MSFMamba) 网络,利用状态空间模型解决多源遥感数据(高光谱图像和激光雷达/合成孔径雷达)的联合分类问题,填补现有方法在异质特征融合和计算复杂度方面的研...
Dual-phase Feature Fusion 实用的融合特征应该包含显著物体、环境光照和纹理细节等重要的信息。 在第一阶段,可以通过手动设计的融合规则快速产生初始融合特征(如图3(a)所示)。然而,由于其无法适应更复杂的融合场景,在第二阶段使用了增强的Mamba M3块(如图4所示)来融合深层纹理细节特征。
YOLOv5_mamba: unmanned aerial vehicle object detection based on bidirectional dense feedback network and adaptive gate feature fusion 方法:论文提出了一个名为YOLOv5_mamba的无人机空中目标检测系统,通过引入C2f模块、双向密集反馈网络和自适应门控特征融合技术,提升YOLOv5算法在小目标检测中的性能,尤其在无人机...
title={Fusionmamba: Dynamic feature enhancement for multimodal image fusion with mamba}, author={Xie, Xinyu and Cui, Yawen and Tan, Tao and Zheng, Xubin and Yu, Zitong}, journal={Visual Intelligence}, volume={2}, number={37}, year={2024} } ...
MV-MOS: Multi-View Feature Fusion for 3D Moving Object Segmentation 论文链接:https://arxiv.org/abs/2408.10602v1 开源链接:https://github.com/Chengjt1999/MV-MOS 南方科技大学&华南师范团队的工作:有效地总结密集的3D点云数据并提取运动目标的运动信息(运动目标分割,MOS)对于自动驾驶和机器人应用至关重要...
Xie et al. Visual Intelligence (2024) 2:37 https://doi.org/10.1007/s44267-024-00072-9 Visual Intelligence RESEARCH Open Access FusionMamba: dynamic feature enhancement for multimodal image fusion with Mamba Xinyu Xie1,2, Yawen Cui3, Tao Tan2, Xubin Zheng1 and Zitong Yu1* Abstract ...