论文-Deep Cross-Modal Hashing Deep Cross-Modal Hashing 关键词:cross-Modal, deep learning 因为cross-modal hashing的低存储和高效的查询能力,被广泛用于多媒体的相似度检索中。本论文提出了一个deep cross-modal hashing(DCMH),首次将feature learning和hash-code learning结合到同一个框架中。 DCMH的框架: 该...
过去一段时间在研究cross-modal hashing领域,这个领域可以看作是cross-modal retrieval领域的扩展,也可以看作是image retrieval hashing领域的扩展。该领域在15年通过发表于CVPR上的论文SePH("Semantics-preserving hashing for cross-view retrieval")逐渐受到大家关注,也是从这时开始,国人开始大量引入这个领域。 到2020年...
Due to its low storage cost and fast query speed, cross-modal hashing (CMH) has been widely used for similarity search in multimedia retrieval applications. However, most existing CMH methods are based on hand-crafted features which might not be optimally compatible with the hash-code learning ...
Learning Cross-modal Embeddings for Cooking Recipes and Food Images )+dataset 输出:sentence(image) rank list method 文章的framework如下所示。 主要是将文本和图像映射到共享的子空间,然后在子空间上做cosine...这是CVPR2017的一篇做cross-modalretrieval的文章,paper和相关数据代码链接http://im2recipe.csail....
deep cross modal hashing (torchcmh) torchcmh是一个基于PyTorch的深度跨模态hashing库 包含: 数据可视化 17-19年有名的baseline方法 多个数据集读取的API 损失函数API 配置调用 数据集 包括了4个我自己制作的数据集(Mirflickr25k, Nus Wide, MS coco, IAPR TC-12) 如果需要使用可以下载对应的.mat文件并去官网...
Cross-modal hashing facilitates mapping of heterogeneous multimedia data into a common Hamming space, which can beutilized for fast and flexible retrieval across different modalities. In this paper, we propose a novel cross-modal hashingarchitecture-deep neural decoder cross-modal hashing (DNDCMH), wh...
source code for paper "Deep Cross-Modal Hashing". Contribute to jiangqy/DCMH-CVPR2017 development by creating an account on GitHub.
The source code of paper "Contrastive Multi-bit Collaborative Learning for Deep Cross-modal Hashing". - sky-wz/CMCL
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval 解决问题:1.在模型训练时利用单标签去估计语义相关性,但实际数据集中有多类标签同时存在,利用多标签更精准;2.利用哈希编码会导致高维数据的丢失 主要思想:自监督对抗哈希网络 将标签作为自监督学习的标准,建立两个对抗网络,可让文本,图像,标签在...
On the other hand, deep hashing algorithms as one of the most prominent high-dimensional reduction methods have received extensive attention. Under such background, the cross-modal retrieval method based on deep hashing came into being. Although the cross-modal hashing learning method has moved a ...