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An efficient dual semantic preserving hashing for cross-modal retrieval

  • Published:2022-07 Issue: Volume:492 Page:264-277
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Liu Yun,Ji Shujuan,Fu Qiang,Chiu Dickson K.W.,Gong Maoguo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference52 articles.

1. Wang, K., Yin, Q., Wang, W., Wu, W., & Wang, L. (2016) A Comprehensive Survey on Cross-modal Retrieval. arXivpreprint:1607.

2. An Overview of Cross-Media Retrieval: Concepts, Methodologies, Benchmarks, and Challenges;Peng;IEEE Transactions on Circuits and Systems for Video Technology,2018

3. Canonical Correlation Analysis: An Overview with Application to Learning Methods;Hardoon;Neural Computation,2004

4. Overview and recent advances in partial least squares;Rosipal;Lecture Notes in Computer Science,2005

5. Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval;Wang;IEEE Transactions on Pattern Analysis and Machine Intelligence,2016

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2. Team HUGE: Image-Text Matching via Hierarchical and Unified Graph Enhancing;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

3. Supervised adaptive similarity consistent latent representation hashing;Neurocomputing;2024-02

4. Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval;IEEE Transactions on Knowledge and Data Engineering;2024-01

5. Joint Specifics and Dual-Semantic Hashing Learning for Cross-Modal Retrieval;Neurocomputing;2024-01
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