通过利用各种数据类型的互补优势，多模态复合检索系统增强了对用户查询和上下文的理解，从而提高了检索性能...
参考资料 标题:A Survey of Multimodal Composite Editing and Retrieval 作者:Suyan Li, Fuxiang Huang, Lei Zhang 单位:重庆大学 标签:多模态学习、图像检索、文本处理、人工智能 概述:这篇文章系统地回顾了多模态复合编辑和检索领域的研究进展,探讨了图像-文本复合编辑、图像-文本复合检索以及其他多模态复合检索的方...
在这篇文章中A Comprehensive Survey on Cross-modal Retrieval,作者给出了跨模态检索(Cross Modal Retrieval)的定义:It takes one type of data as the query to retrieve relevant data of another type。大概意思就是说,将一种类型的数据作为查询去检索另一种相关类型的数据。那么什么叫不同类型(different type ...
A Comprehensive Survey on Cross-modal Retrieval Kaiye Wangy, Qiyue Yiny, Wei Wang, Shu Wu, Liang Wang∗, Senior Member, IEEE 1. 研究现状: 目前跨模态检索主要分为两种方法:(1)real-valued表示学习;(2)binary表示学习。Real-valued... 查看原文 跨媒体检索--无监督哈希方法 Coupled CycleGAN ...
Consequently, video-text cross-modal retrieval has emerged as a burgeoning area of research in recent times. To thoroughly comprehend video-text cross-modal retrieval and its state-of-the-art developments, a methodical review and summarization of the existing representative methods ...
As the rapid development of deep neural networks, multi-modal learning techniques are widely concerned. Cross-modal retrieval is an important branch of multimodal learning. Its fundamental purpose is to reveal the relation between different modal samples
(跨模态检索综述)A Comprehensive Survey on Cross-modal Retrieval 信息的丢失,检索精度一般会略有下降。根据学习常用表示时所使用的信息,将跨模态检索方法进一步划分为四类:(1)无监督方法,(2)基于成对的方法,(3)基于秩的方法,(4)有监督的方法。一般来说,一...想要的内容。目前,主要的研究工作是设计有效的方...
In recent years, cross-modal retrieval has drawn much attention due to the rapid growth of multimodal data. It takes one type of data as the query to retrieve relevant data of another type. For example, a user can use a text to retrieve relevant pictures or videos. Since the query and ...
你说的是这篇文章吗--Multilayer pLSA for Multimodal Image Retrieval?我的理解是multimodal指的就是visual words和text两种modal,所以他才说是multimodal的;至于你说的cross-modal我不是很清楚,不能随便乱说。 发布于 2013-05-06 20:24 赞同添加评论 分享收藏喜欢收起...
In this work, we tackle the problem of single image-based 3D shape retrieval (IBSR), where we seek to find the most matched shape of a given single 2D image from a shape repository. Most of the existing works learn to embed 2D images and 3D shapes into a common feature space and perf...