模型框架是一个多步迭代的过程,每次迭代主要包含两个部分:CAU(Cross-modal Attention Unit)用来对齐对齐不同模态的片段信息和MDU(Memory distillation unit)用来从前期的匹配步骤动态地整合信息到后期的匹配步骤。 Fig 1. IMRAM模型框架图 CAU(Cross-modal Attention Unit):对跨模态信息进行对齐。 该单元本身是SCAN,操...
Image-text retrieval task has received a lot of attention in the modern research field of artificial intelligence. It still remains challenging since image and text are heterogeneous cross-modal data. The key issue of image-text retrieval is how to learn a common feature space while semantic ...
1.论文阅读 为了利用image和sentences之间的交互信息,提出了 Cross-modal Adaptive Message Passing model (CAMP),该模型包括两个部分:Cross-modal Message Aggregation module和Cross-modal Gated Fusion module 3.CAMP模型 3.1 Cross-modal Message Aggregation 基于cross-modal attention mechanism,获得region-word交互信息...
2020-WACV-Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval 一、背景 图像-文本跨模态检索是一个具有挑战性的研究课题,当给定一个模态(图像或文本句子)的查询时,它的目标是从数据库中以另一个模态检索最相似的样本。这里的关键挑战是如何通过理解跨模式数据的内容和度量其语义相似性来...
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval ICCV-2019 20200925 摘要 人在进行图文检索的过程,交替注意图像中的区域和句子中的单词,并考虑两种形式之间的相互作用来选择最显著的信息。 之前: 将图像和文本独立的嵌入空间中计算两者的相似性,没有探索图像和文本之间的交互。 本文: 1.提出...
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 吕阿华...
As multimedia technologies advance, untagged image-text data processing has become central in cross-modal retrieval. However, current methods often neglect three critical issues when learning hash codes: 1. Incomplete feature representation limits capturing diverse latent semantics. 2. Binary codes from ...
Image-text retrieval is a fundamental cross-modal task whose main idea is to learn image-text matching. Generally, according to whether there exist interactions during the retrieval process, existing image-text retrieval methods can be classified into independent representation matching methods and cross...
code for our CVPR2020 paper "IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval" - qiqi545/IMRAM
Image-Text Retrieval. 图像-文本检索的任务是从给定描述其内容的标题的候选图像中识别图像,反之亦然。我们使用如下两个数据集。1)MSCOCO由123,287张图像组成,每张图像大约包含5个文本描述。它被分为82783张训练图像,5000张验证图像和5000张测试图像。我们按照(Faghri et al. 2017)中的数据拆分方法,添加了30,504...