标题：A Survey of Multimodal Composite Editing and Retrieval 作者：Suyan Li, Fuxiang Huang, Lei Zh...
去年在跨模态检索/匹配 (cross-modal retrieval/matching) 方向开展了一些研究与应用,感觉比较有意思,所以想写点东西记录一下。这个研究方向并不是一个很"干净"的概念,它可以与 representation learning、contrastive learning、unsupervised leraning 等等概念交叉联系。并没有时间和能力写综述,思来想去就以研究较多的图文...
Cross-modal retrieval has drawn wide interest for retrieval across different modalities (such as text, image, video, audio, and 3-D model). However, existing methods based on a deep neural network often face the challenge of insufficient cross-modal training data, which limits the training ...
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval ICCV-2019 20200925 嵌入方法进行文本图像匹配,我们基于融合后的特征来推断匹配分数,并提出一种最硬的负二进制交叉熵损失进行训练。 引言 难点: 视觉和语义之间的异构性 传统做法: 把图像-文本映射在同一子空间,用二者之间的...,先将各自特征投...
The rapid development of Deep Neural Networks (DNNs) in single-modal retrieval has promoted the wide application of DNNs in cross-modal retrieval tasks. Therefore, we propose a DNN-based method to learn the shared representation for each modality. Our method, hybrid representation learning (HRL),...
论文名称:GME: Improving Universal Multimodal Retrieval by Multimodal LLMs 论文链接:arxiv.org/abs/2412.1685 Huggingface:hf.co/Alibaba-NLP/gme-Q 摘要 通用多模态检索(UMR)旨在通过一个统一的模型实现跨各种模态的搜索,其中查询和候选项可以是纯文本、图像或两者的组合。之前的工作尝试采用多模态大语言模型(...
学术范收录的Conference Cross-modal retrieval based on deep correlated network,目前已有全文资源,进入学术范阅读全文,查看参考文献与引证文献,参与文献内容讨论。学术范是一个在线学术交流社区,收录论文、作者、研究机构等信息,是一个与小木虫、知乎类似的学术讨
跨模态检索Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval 核心思想 本论文是无监督方法,主要由两层循环对抗网络构成,外层的循环对抗网络主要是使不同模态提取更有代表性的公共特征向量,内层循环对抗网络使学的高质量的哈希编码...}GfI−>T(是一个encode->decode过程),生成Ffake...
discriminative information reflected by labels and, hence, the retrieval accuracies of these methods are affected. To address these challenges, this paper introduces a simple yet effective supervised multimodal hashing method, called label consistent matrix factorization hashing (LCMFH), which focuses on...