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;...
首先你得存储并索引文本或商品的标签。除非你明确地将数据库中所有螺丝刀的图片与“螺丝刀”这个标签或...
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 t...
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 ...
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。
naaclairetrievallshios-swiftimage-searchk-meanscross-modalclipknnsemantic-searchknowledge-distillationk-means-clusteringrandom-projectionvector-search UpdatedMay 11, 2023 Swift Zengyi-Qin/Weakly-Supervised-3D-Object-Detection Star106 Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM ...
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 ...
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 ...
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 ...
几篇论文实现代码:《xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation》(CVPR 2020) GitHub:http://t.cn/A6UOYTmf [fig6] 《TF-NAS: Rethinking Three Search Freedoms of Lat...