CMX(Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers)是一种利用Transformer模型实现跨模态融合的方法,旨在提高RGB-X(其中X代表其他模态数据,如深度图、红外图像等)语义分割任务的性能。CMX通过融合来自不同模态的信息,使模型能够更全面地理解场景,从而提升分割的准确性和鲁棒性。 2. 阐述cross-...
FFM:feature fusion module 结构如下图所示,可以看出,是基于 Transformer 的。和其他方法不同的是,这里把两个模态对等处理了。只不过在QKV计算上,使用了《Efficient Attention: Attention with Linear Complexities》里的处是方法,可以降低attention的计算量。在FFN部分,采用了Depth-wise conv取代MLP,同时,残差连接添加...
论文地址:CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers 代码地址:https://github.com/huaaaliu/RGBX_Semantic_Segmentation 本文贡献: 提出了CMX,一种基于vison-transformer的跨模态融合框架,用于RGB-X语义分割(X为RGB的互补模态); 设计了跨模态特征校正模块(CM-FRM),通过结合其他模态...
1、研究动机 当前的语义分割主要利用RGB图像,加入多源信息作为辅助(depth, Thermal等)可以有效提高语义分割的准确率,即融合多模态信息可以有效提高准确率。当前方法主要包括两种: Input fusion: 如下图a所示,将RGB和D数据拼接在一起,使用一个网络提取特征。 Feature
In the field of vision-based robot grasping, effectively leveraging RGB and depth information to accurately determine the position and pose of a target is a critical issue. To address this challenge, we proposed a tri-stream cross-modal fusion architecture for 2-DoF visual grasp detection. This...
The first three layers of bottom features are guided by advanced semantic features before and after fusion, to complete the repair of the lowlevel features. Finally, the final salient map is obtained. The proposed cross-modal feature fusion module can adaptively ...
MAGNet: Multi-scale Awareness and Global fusion Network for RGB-D salient object detection In recent years, excellent RGB-D salient object detection performance has been achieved. However, existing detection methods generally require a large numb... M Zhong,J Sun,P Ren,... - Knowledge-Based Sy...
Then, the gated cross-attention feature fusion module (GC-FFM) fuses the expanded modal features to achieve cross-modal global inference by the gated cross-attention mechanism. Utilizing the above two modules in four stages of the network, our framework can learn multi-modal and multi-level ...
The fusion module of RGB and infrared (IR) remote sensing images is the key of multispectral ship detection. Existing works have shown that the cross-attention-based feature fusion can achieve good performance by extracting the complementary information of RGB and IR modalities. However, the existin...
MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object Detection 星级: 12 页 MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object Detection 下载积分:199 内容提示: 文档格式:PDF | 页数:12 | 浏览次数:4 | 上传日期:2024-11-13 09:03:27 ...