Visual-semantic contextPose-position attentive learningVideo-based group activities typically contain interactive contexts among diverse visual modalities between multiple persons, and semantic relationships be
图文匹配Visual-Semantic Matching by Exploring High-Order Attention and Distraction 技术标签: 人工智能 计算机视觉 python 深度学习背景 本篇论文来自北大王选计算机研究所,接收于CVPR2020 动机 本文的出发点主要是两个: 1.发掘高阶语义信息(object-predicatesubject triplet (物体之间)主谓宾三元组信息、object-...
3 Visual Semantic Odometry 3.1 Visual Semantic Odometry Framework 做一些基本的符号定义: 输入图像 相机姿态 ,其中 T_k\in SE(3) 地图点 首先基本的里程计目标函数为: 其中 e_{base}(k,i) 表示在第k个相机下看到的第i个点的cost。要么被定义为光度差异(直接法)或者几何差异(间接法)。由于作者...
Visual Semantic Reasoning for Image-Text Matching 1. Visual Semantic Reasoning 的基本理论 Visual Semantic Reasoning(视觉语义推理)是一种结合视觉信息(如图像)和语义信息(如文本)进行推理的技术。它旨在通过理解和分析视觉和语义内容之间的复杂关系,从而实现更高级别的认知任务。这通常涉及深度学习模型,如卷积神经网...
simultaneously. Wu et al. [20] proposes the Unified Visual-Semantic Embeddings that employs the trained semantic parser to align the embeddings of concepts at multiple levels. Under the umbrella of learned hierarchical representations, these methods can acquire more robust and meaningful semantic ...
最后作者再次使用Visual-Semantic Alignment Module将Visual2转化为Semantic3。之后还可以加上一个Semantic Module来对其进行语义的推理最终得到融合之后的Semantic特征之后接入线性层便可以将输入的Tensor转化为sequence。如下图所示,展示该论文中的所有相关Module和数据流向。
Visual-Semantic Graph Attention Network: After instance detection, a visual-spatial and a semantic graph are created. Node edge weights are dynamically through attention. We combine these graphs and then perform a readout step on box-pairs to infer all possible predicates between one subject and ...
Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block, and it plays a crucial role in environmental perception. Conventional learning-based visual
Deep Visual-Semantic Alignments for Generating Image Descriptions 论文链接：https://volctracer.com/w/BX18q92F 论文作者 Andrej Karpathy, Li Fei-Fei Department of Computer Science, Stanford University 内容简介 这篇论文提出了一个深度学习模型，旨在生成描述图像及其区域的自然语言文本。该模型通过分析大量的...
Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment [Code]( 摘要 -语义SLAM是自主驾驶和智能代理中的一个重要领域,它能使机器人实现高层次的导航任务,获得简单的认知或推理能力,实现基于语言的人机交互。本文将ORB-SLAM[1]、[2]的三维点云与PSPNet-101[3]卷积神经网络模型的语义分... ...