Hashing technologies have been widely used for information retrieval tasks due to their efficient retrieval and storage capabilities. Generally, most of the current supervised learning only utilizes labels to construct a binary similarity matrix of instance pairs and ignores the rich semantic information ...
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval,程序员大本营,技术文章内容聚合第一站。
研读Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval,程序员大本营,技术文章内容聚合第一站。
Source code for TCSVT paper “Deep Semantic-Aware Proxy Hashing for Multi-Label Cross-Modal Retrieval” - QinLab-WFU/DSPH
To address the above problems, we propose the deep semantic-aware ranking preserving hashing (DSRPH) method. An overview of the proposed framework is illustrated in Fig. 2. It can be seen from Fig. 2, we use a pre-trained deep convolutional neural network (CNN) to extract representation an...
In this paper, we propose a new cross-modal retrieval method, called Label-Based Deep Semantic Hashing (LDSH). In this method, a new similarity-preserving matrix is given according to multi-label to describe the degree of similarity between multimodal data. Moreover, the last fully connected ...
Label semantic guidanceRelaxationSupervised cross-modal hashing has attracted many researchers. In these studies, they seek a common semantic space or directly regress the zero-one label information into the Hamming space. Although they achieve many achievements, they neglect some issues: 1) some ...
To address these issues, we propose Label-enhanced Cross-modal Hashing with Dual-semantic Learning (LCHDL) in this study. LCHDL mainly consists of two parts, i.e., DeNoise Label Semantics Learning (DNLSL) and Static Label Correlations Embedding (SLCE). DNLSL uses low-rank and sparse ...
To address above problems, we present a deep semantic-aware ranking preserving hashing (DSRPH) method. First, we design a semantic-aware similarity quantization method which can measure fine-grained semantic-level similarity beyond the category based on the cosine similarity of image captions that ...
But straightforward embedding data from different modalities involving rich semantics into a joint Hamming space will inevitably produce false codes due to the intrinsic modality discrepancy and noises. We present a novel deep Robust Multilevel Semantic Hashing (RMSH) for more accurate multi-label cross...