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...
Cross-modalIn human action recognition, both spatio-temporal videos and skeleton features alone can achieve good recognition performance, however, how to combine these two modalities to achieve better performance is still a worthy research direction. In order to better combine the two modalities, we ...
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...
Feature fusion:如下图b所示,将分别用两个网络提取RGB和D的特征,然后在网络中间进行特征交互融合。 作者提出的CMX,特点为:comprehensive interactions are considered, including channel and spatial-wise cross-modal feature rectification from the feature map, as well as cross-attention from the sequence-to-sequ...
To this end, we exquisitely design a cross-modal fusion and progressive decoding network (termed CPNet) to achieve RGB-D SOD tasks. The designed network structure only includes three indispensable parts: feature encoding, feature fusion and feature decoding. Specifically, in the feature encoding ...
In this work, a Multi-scale Gradient balanced Central Difference Convolution (MG-CDC) and a Graph convolutional network-based Language and Image Fusion (GLIF) for cross-modal encoder, called Graph-RefSeg, are designed. Specifically, in the shallow layer of the encoder, the MG-CDC captures ...
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...
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:8 | 上传日期:2024-11-13 09:03:...
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...
Cross-modal Fusion 首先要将S'的维度降低,做平均池化操作获得\hat{S} \in \mathbb{R}^{p \times d} ,得到clip-level 跨模态融合特征M的过程为:(\hat{V} ,\hat{S}均靠广播为\mathbb{R}^{p \times n \times d }) M = \sigma(FC(\hat{V} \odot \hat{S})) \in \mathbb{R}^{n \...