论文链接:Negative-Aware Attention Framework for Image-Text Matching(基于负感知注意力的图文匹配,CVPR2022) 代码主页:https://github.com/CrossmodalGroup/NAAF 主要优势 (Highlights): 1)不额外添加任何学习参数前提下,在基础基线SCAN上取得显著性能提升,达到SOTA; 2)模型设计简单有效,只需要SCAN 的文本-图像(Text...
做"image-text matching" 这个 topic 有大半年的时间了,从 CVPR2020 鸽到IJCAI2020,code 写了不少,实验也做了不少,但是最后还是没能做出来,接下来要去 MSRA 实习一段时间,不知道又要鸽到什么时候了。 在实验后期卡住的时候,我看到了一些新颖的 VQA 的工作,感觉蛮有意思。本篇文章主要结合这些 VQA 模型和我...
Text-image matching has been one of the most popular ones among them. Most methods involve two phases: 1) training: two neural networks (one image encoder and one text encoder) are learned end-to-end, mapping texts and images into a joint space, where vectors (either texts or images) wi...
【相似关联 + 过滤 - 图文匹配】Similarity Reasoning and Filtration for Image-Text Matching 主要思路和创新点 作者提出了两个模块,相似图推理(SGR: Similarity Graph Reasoning)和相似注意力过滤(SAF: Similarity Attention Filteration)。前者用于识别单词图片相似性之间的复杂关系,后者用于过滤一些非重要的单词以提高...
This is Negative-Aware Attention Framework for Image-Text Matching, source code of NAAF. The paper is accepted by CVPR2022. Download Paper. Its Chinese blog can be found here. It is built on top of the SCAN in PyTorch. Our series of work based on optimal discriminative learning is publishe...
This phenomenon has created the need to develop integrative visual and verbal literacy practices in order to foster children's engagement with books in ways that nurture their own understanding of the implications of text-image matching.doi:10.1057/9780230245341_8María Cristina Astorga...
text. In this paper, we propose a Consensus-Aware Visual-Semantic Embedding (CVSE) model to incorporate the consensus information, namely the commonsense knowledge shared between both modalities, into image-text matching. Specifically, the consensus information is exploited by computing statistical co-...
在模型预训练过程中，设计了四个任务来对语言信息和视觉内容以及它们之间的交互进行建模。四个任务分别为：掩码语言建模（Masked Language Modeling）、掩码对象分类（Masked Object Classification）、掩码区域特征回归（Masked Region Feature Regression）、图文匹配（Image-Text Matching）。掩码语言建模简称MLM，在这个任务...
MatchPyramid来自Liang Pang等在2016发表的一篇文章Text Matching as Image Recognition,大意为利用图像识别的方式进行文本匹配。 二、思路 对于文本匹配,基本思路如下述公式: 其中T为文本,函数θθθ代表将文本转换为对应的表示,函数FFF则代表两个文本表示之间的交互关系。 由侧重点不同可分为表示方法与交互方法,即注重...
on the toolbar to see the side panel. In the text box, enter a description of the image you want to create. For example, you can type "a blue cat with a red hat" or "a landscape with mountains and a lake". Be as descriptive as possible to generate results matching ...