本篇文章主要结合这些 VQA 模型和我的实验结果,写一写我对 image-text matching 这个 task 的想法。 VQA 和 image-text matching 的问题有很多共同点,比如两者都分别接受 image 和 text 特征然后进行 encode。如果把 matching 看作二分类问题,那不同点几乎就只有 VQA 的输出是多类,而 matching 是两类了。所以...
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...
Visual Semantic Reasoning for Image-Text Matching(ICCV 2019)【VSRN模型采用GCN对图像区域的关系进行了推理,生成局部的具有语义关系信息的特征。然后再基于局部的结果做全局推理,过滤不重要的信息,最后得到图像表征。它在训练阶段同时进行了图像描述生成和图文匹配任务,更好地理解和对齐视觉和文本的语义信息。】 Focus...
Image-text matchingRe-ranking methodAdaptive metric fusionImage-text matching has drawn much attention recently with the rapid growth of multi-modal data. Many effective approaches have been proposed to solve this challenging problem, but limited effort has been devoted to re-ranking methods. Compared...
The key challenge in image-text matching lies in learning thecorrespondenceof image and text, such that can reflect thesimilarityof image-text pairs accurately. 现有的方法: ①:one-to-one approaches One-to-one approaches learnthe correspondence between the whole image and textwithout external object...
@文心快码BaiduComatestacked cross attention for image-text matching 文心快码BaiduComate 1. 解释什么是Stacked Cross Attention Stacked Cross Attention 是一种注意力机制,它在处理多模态数据(如图像和文本)时,能够捕捉不同模态间的交互信息。这种机制通过在多个层级上堆叠注意力模块,逐步深化对跨模态信息的理解和...
The key point of image-text matching is how to accurately measure The key challenge in image-text matching lies in learning the correspondence of image and text, such that can reflect the similarity 现有的方法: ①:one-to-one approaches ...
Inferring the latent semantic alignment between objects or other salient stuff (e.g. snow, sky, lawn) and the corresponding words in sentences allows to capture fine-grained interplay between vision and language, and makes image-text matching more interpretable. Prior work either simply aggregates ...
Xi Chen, Gang Hua, Houdong Hu, Xiaodong He March 2018 arXiv preprint arXiv:1803.08024 Publication Download BibTex In this paper, we study the problem of image-text matching. Inferring the latent semantic alignment between objects or other salient stuffs (e.g. snow, sky, lawn) and the corr...
Negative-Aware Attention Framework for Image-Text Matching(NAAF) 登录 开通大会员 大会员 消息 动态 收藏 历史记录 创作中心 投稿 追文逐业的小研 编辑于 2023年10月18日 00:49 分享至 投诉或建议 评论 赞与转发 2 0 0 0 0