Enhancing the Quality of Image Tagging Using a Visio-Textual Knowledge Base-Reference-Cited by-同舟云学术

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Enhancing the Quality of Image Tagging Using a Visio-Textual Knowledge Base

Published:2020-04 Issue:4 Volume:22 Page:897-911
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Chaudhary Chandramani,Goyal Poonam,Prasad Dhanashree Nellayi,Chen Yi-Ping Phoebe^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/9046171/08811600.pdf?arnumber=8811600

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Dual-Attention Learning Network With Word and Sentence Embedding for Medical Visual Question Answering;IEEE Transactions on Medical Imaging;2024-02

2. DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination;IEEE Transactions on Multimedia;2024

3. Automatic Image Captioning for Medical Diagnosis Report Generation;2023 11th International Conference on Intelligent Systems and Embedded Design (ISED);2023-12-15

4. CDADITagger: An Approach Towards Content Based Annotations Driven Image Tagging Integrating Hybrid Semantics;2022 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2022-12-01

5. TCKGE: Transformers with contrastive learning for knowledge graph embedding;International Journal of Multimedia Information Retrieval;2022-11-27

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