All deep methods, however, have not sufficiently explored semantic correlation of modalities for the hashing process. In this paper, we introduce a novel end-to-end deep cross-modal hashing framework which integrates feature and hash-code learning into the same network. We take both between and ...
)+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.mit.edu/,作者的homepage 图像标注:图像文本语义对齐 模型在第一个模型...
Hashing has been extensively utilized in cross-modal retrieval due to its high efficiency in handling large-scale, high-dimensional data. However, most existing cross-modal hashing methods operate as offline learning models, which learn hash codes in a batch-based manner and prove to be inefficient...
Deep consistency-preserving hash auto-encoders for neuroimage cross-modal retrieval Article Open access 09 February 2023 Semantic embedding based online cross-modal hashing method Article Open access 06 January 2024 A tied-weight autoencoder for the linear dimensionality reduction of sample data ...
Cross-modal hashing methods have attracted considerable attention due to their low memory usage and high query speed in large-scale cross-modal retrieval. During the encoding process, there still remains two crucial bottlenecks: how to equip hash codes with cross-modal semantic information, and how...
* 题目: Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification* 链接: arxiv.org/abs/2112.1292* 作者: Zhiyu Fang,Xiaobin Zhu,Chun Yang,Zheng Han,Jingyan Qin,Xu-Cheng Yin* 摘要: 通过对齐跨模态自动编码器的潜在空间来学习常见的潜在嵌入是广义零样本分类 (GZSC) 的有效...
Deep Semantic Hashing with Generative Adversarial Networks 论文review(翻译),程序员大本营,技术文章内容聚合第一站。
* 题目: AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic Segmentation* PDF: arxiv.org/abs/2309.1406* 作者: Siqi Du,Weixi Wang,Renzhong Guo,Shengjun Tang* 题目: Weakly Supervised Semantic Segmentation by Knowledge Graph Inference* PDF: arxiv...
To capture the complementary information between the images and texts for text-enhanced image sentiment classification, in this paper, we propose a novel cross-modal Semantic Content Correlation (SCC) method based on deep matching and hierarchical networks, which bridges the correlation between textual ...
用于单样本学习的多层语义特征增强 引用:Chen, Zitian, et al. “Multi-level semantic feature augmentation for one-shot learning.” IEEE Transactions on Image Processing 28.9...