In this demo we focus on cross-modal (visual and textual) e-commerce search within the fashion domain. Particularly, we demonstrate two tasks: 1) given a query image (without any accompanying text), we retrieve textual descriptions that correspond to the visual attributes in the visual query;...
多模态(multi-modal)检索和跨模态(cross-modal)检索的区别是什么?只讨论图像检索中的文本和视觉特征两种模态 关注者73 被浏览117,703 关注问题写回答 邀请回答 好问题 3 添加评论 分享 9 个回答 默认排序莫红 北航计算机博士生 关注 42 人赞同了该回答 多模态就是运用不止一种形式的...
compared directly for cross-modal search and retrieval. We also show that these jointly-learnt embeddings outperform solo embeddings of any one modality. Thus, our results break ground for a cross-modal Audio Search Engine that permits searching through ad-hoc recordings with either ...
Due to its storage and query efficiency, hashing has been widely applied to approximate nearest neighbor search from large-scale datasets. While there is increasing interest in cross-modal hashing which facilitates cross-media retrieval by embedding data from different modalities into a common Hamming ...
This naturally motivates a new kind of information retrieval system, named cross-modal resource search, in which given a query object from any modal, all the related resources from other modals can be retrieved in a convenient manner. However, due to the tag homonym and synonym, such an ...
elasticsearchmachine-learningdeep-learningprotobufpytorchdata-structuresnearest-neighbor-searchcross-modalmulti-modalsemantic-searchmultimodalnested-dataweaviatedataclasspydanticfastapineural-searchqdrantdocarray UpdatedOct 1, 2024 Python shaoxiongji/knowledge-graphs ...
论文阅读笔记(七十六)【TIP2021】:Cross-Modal Knowledge Adaptation for Language-Based Person Search Introduction 作者认为,大部分现有方法都将图文特征平等地投影到相同的特征空间,但现实中图文信息并不完全等价。比如,图像中包含的光照条件、图像分辨率、视角、背景等信息很少会被文字描述到,如下图所示。
Cross-modal retrieval, as a more effective and in-demand search method, has garnered significant research attention in today’s society. Commonly used cross-modal retrieval methods1,2,3,4 employ real-valued vectors to represent multimodal data. However, these methods require extensive computation ...
With the advantage of low storage cost and high retrieval efficiency, hashing techniques have recently been an emerging topic in cross-modal similarity search. As multiple modal data reflect similar semantic content, many researches aim at learning unified binary codes. However, discriminative hashing ...
Different from existing neural architecture search methods, our approach can effectively exploit the query information to reach query-conditioned architectures for modeling cross modal matching. Extensive experiments on three benchmark datasets show that our approach can not only significantly outperform the ...