Semantic Fusion(语义融合)研究综述
Semantic Fusion 语义融合 - In this paper, we will discuss the existing SLAM systems, semantic segmentation networks and semantic SLAM systems, introduce secondly the multiple effects of semantic network on localization, mapping and their applications, and finally put forward an idea of semantic Fusion. [1] As a basis for this method, it is proposed to use the semantic fusion of video images obtained using different physical principles, the idea of which is in that the semantic content of one video image is used to control the processing and analysis of another video image. [2]在本文中，我们将讨论现有的 SLAM 系统、语义分割网络和语义 SLAM 系统，其次介绍语义网络对定位、建图及其应用的多重影响，最后提出语义融合的思想。 [1] 作为该方法的基础，提出了利用不同物理原理获得的视频图像的语义融合，其思想是利用一个视频图像的语义内容来控制另一个视频图像的处理和分析。 . [2]
Level Semantic Fusion
This paper proposes a media domain information-driven multi-level semantic fusion (MDID-MLSF) approach. [1] A multi-level semantic fusion method is proposed to learn the features for identification based on representation learning. [2]本文提出了一种媒体域信息驱动的多级语义融合（MDID-MLSF）方法。 [1] 提出了一种基于表示学习的多级语义融合方法来学习用于识别的特征。 [2]
semantic fusion network 语义融合网络
In this paper, we propose a novel multi-scale semantic fusion network (MSFN). [1] This method includes a semantic fusion network and an attention-based feature extraction network (AFE Net) for multiview change detection. [2] In this work, we propose a Contextual and Semantic Fusion Network (CSFN) which effectively integrates contextual and semantic representation. [3] In this paper, we propose a visual and semantic fusion network with a margin-based training guidance mechanism to generate fine image descriptions that depict more objects, attributes and other distinguishing aspects of images. [4] To solve the problem, this paper proposes an image semantic fusion network for real-time detection of small obstacles. [5]在本文中，我们提出了一种新颖的多尺度语义融合网络（MSFN）。 [1] 该方法包括语义融合网络和基于注意力的特征提取网络（AFE Net），用于多视图变化检测。 [2] 在这项工作中，我们提出了一个上下文和语义融合网络（CSFN），它有效地集成了上下文和语义表示。 [3] 在本文中，我们提出了一种视觉和语义融合网络，该网络具有基于边缘的训练指导机制，以生成精细的图像描述，描述更多的对象、属性和图像的其他区别方面。 [4] 针对该问题，本文提出了一种实时检测小障碍物的图像语义融合网络。 [5]
semantic fusion method
In this paper, we propose a multigranularity semantic fusion method to support biomedical relation extraction. [1] A multi-level semantic fusion method is proposed to learn the features for identification based on representation learning. [2]在本文中，我们提出了一种多粒度语义融合方法来支持生物医学关系提取。 [1] 提出了一种基于表示学习的多级语义融合方法来学习用于识别的特征。 [2]
semantic fusion module 语义融合模块
To fuse the semantic information within a single instance, an attention-based Semantic Fusion Module is proposed to encode attention maps in the instance embedding space, which are applied to fuse semantic information in the semantic feature space. [1] Especially, the FusionPainting framework consists of three main modules: a multi-modal semantic segmentation module, an adaptive attention-based semantic fusion module, and a 3D object detector. [2]为了在单个实例中融合语义信息，提出了一种基于注意力的语义融合模块来对实例嵌入空间中的注意力图进行编码，用于在语义特征空间中融合语义信息。 [1] 特别是，FusionPainting框架由三个主要模块组成：多模态语义分割模块、基于自适应注意力的语义融合模块和3D对象检测器。 [2]