Hcmsl: Hybrid cross-modal similarity learning for cross-modal retrieval
The purpose of cross-modal retrieval is to find the relationship between different modal
samples and to retrieve other modal samples with similar semantics by using a certain …
samples and to retrieve other modal samples with similar semantics by using a certain …
A novel image hashing scheme with perceptual robustness using block truncation coding
In this paper, we propose a novel perceptual image hashing scheme based on block
truncation coding (BTC). In the proposed scheme, the pre-processing is first applied on …
truncation coding (BTC). In the proposed scheme, the pre-processing is first applied on …
Robust image hashing with multidimensional scaling
Z Tang, Z Huang, X Zhang, H Lao - Signal processing, 2017 - Elsevier
Multidimensional scaling (MDS) is an efficient technique for data analysis, and has been
successfully applied in data visualization, object retrieval, data clustering, and so on …
successfully applied in data visualization, object retrieval, data clustering, and so on …
Simple to complex cross-modal learning to rank
The heterogeneity-gap between different modalities brings a significant challenge to
multimedia information retrieval. Some studies formalize the cross-modal retrieval tasks as a …
multimedia information retrieval. Some studies formalize the cross-modal retrieval tasks as a …
Sparse graph based self-supervised hashing for scalable image retrieval
In recent years, learning-based image hashing techniques have elicited wide interest
among researchers because they can be applied in high-dimensional data such as videos …
among researchers because they can be applied in high-dimensional data such as videos …
Unsupervised cross-modal similarity via latent structure discrete hashing factorization
Y Fang, B Li, X Li, Y Ren - Knowledge-Based Systems, 2021 - Elsevier
To date, large amounts of discriminative semantics-preserving discrete hash models are
enjoying great popularity in cross-modal hashing community. Most of them, however, distill …
enjoying great popularity in cross-modal hashing community. Most of them, however, distill …
Online deep hashing for both uni-modal and cross-modal retrieval
Y Xie, X Zeng, T Wang, Y Yi - Information Sciences, 2022 - Elsevier
The batch-based hash learning paradigm for uni-modal or cross-modal retrieval has made
great progress in recent decades. However, methods that are based on this paradigm …
great progress in recent decades. However, methods that are based on this paradigm …
Parallel learned generative adversarial network with multi-path subspaces for cross-modal retrieval
Z Li, H Lu, H Fu, G Gu - Information Sciences, 2023 - Elsevier
Cross-modal retrieval aims to narrow the heterogeneity gap between different modalities,
such as retrieving images through texts or vice versa. One of the key challenges of cross …
such as retrieving images through texts or vice versa. One of the key challenges of cross …
Manifold regularized cross-modal embedding for zero-shot learning
Abstract Zero-Shot Learning (ZSL) aims at classifying previously unseen class samples and
has gained its popularity in applications where samples of some categories are scarce for …
has gained its popularity in applications where samples of some categories are scarce for …
Authenticity and copyright verification of printed images
Perceptual image hashing and digital watermarking are two of the extensively investigated
techniques for content authentication and copyright verification of digital images …
techniques for content authentication and copyright verification of digital images …