Event-Driven Attention Network: A Cross-Modal Framework for Efficient Image-Text Retrieval in Mass Gathering Events
Research on mass gathering events is critical for ensuring public security and maintaining social order. However, most of the existing works focus on crowd behavior analysis areas such as anomaly detection and crowd counting,... | Find, read and cite all the research you need on Tech Science Press
Authors
- Ke Qin (ORCID: https://orcid.org/0000-0001-6174-3877)
- Hong‐Guang Jin (ORCID: https://orcid.org/0000-0003-3433-7464)
- Ye Li (ORCID: https://orcid.org/0000-0002-2898-5345)
- Xuyang Zhang (ORCID: https://orcid.org/0000-0001-5084-0225)
- Zhan Li (ORCID: https://orcid.org/0000-0003-3167-2718)
- Sijie Yang (ORCID: https://orcid.org/0000-0001-7747-2063)
- Kamil Yasen
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.061037
- Primary Topic
- Advanced Image and Video Retrieval Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Xinjiang