Fast unsupervised multi-modal hashing based on piecewise learning
Authors:
- Yinan LiYLYinan Li
- Jun LongJLJun Long
- Zerong TuZTZerong Tu
- Zhan YangZYZhan Yang
- 11 June 2024
- journal article
- research article
- Published by Elsevier in Knowledge-Based Systems
- Vol. 299
Abstract
No abstract availableKeywords
Funding Information
- National Key Research and Development Program of China (2021YFB3900902)
- Hunan Provincial Natural Science Foundation (2022JJ40638)
- Science and Technology Program of Gansu Province
- National Natural Science Foundation of China (2021YFB3900902, 62202501, U2003208)
This publication has 36 references indexed in Scilit:
- MAFH: Multilabel aware framework for bit-scalable cross-modal hashingKnowledge-Based Systems, 2023
- Fast unsupervised consistent and modality-specific hashing for multimedia retrievalNeural Computing and Applications, 2022
- Discrete Fusion Adversarial Hashing for cross-modal retrievalKnowledge-Based Systems, 2022
- VLDeformer: Vision–Language Decomposed Transformer for fast cross-modal retrievalKnowledge-Based Systems, 2022
- Scalable semantic-enhanced supervised hashing for cross-modal retrievalKnowledge-Based Systems, 2022
- Hybrid SOM based cross-modal retrieval exploiting Hebbian learningKnowledge-Based Systems, 2022
- Coarse-to-fine dual-level attention for video-text cross modal retrievalKnowledge-Based Systems, 2022
- Unsupervised cross-modal similarity via Latent Structure Discrete Hashing FactorizationKnowledge-Based Systems, 2021
- NSDH: A Nonlinear Supervised Discrete Hashing framework for large-scale cross-modal retrievalKnowledge-Based Systems, 2021
- Piecewise supervised deep hashing for image retrievalMultimedia Tools and Applications, 2019