科研成果详情

题名SiamCLIM: Text-Based Pedestrian Search Via Multi-Modal Siamese Contrastive Learning
作者
发表日期2023
会议名称30th IEEE International Conference on Image Processing, ICIP 2023
会议录名称2023 IEEE International Conference on Image Processing: Proceedings
ISBN9781728198354
页码1800-1804
会议日期OCT 08-11, 2023
会议地点Kuala Lumpur, MALAYSIA
出版地NEW YORK, USA
出版者IEEE
摘要

Text-based pedestrian search (TBPS) aims at retrieving target persons from the image gallery through descriptive text queries. Despite remarkable progress in recent state-of-the-art approaches, previous works still struggle to efficiently extract discriminative features from multi-modal data. To address the problem of cross-modal fine-grained text-to-image, we proposed a novel Siamese Contrastive Language-Image Model (SiamCLIM). The model implements textual description and target-person interaction through deep bilateral projection, and siamese network structure to capture the relationship between text and image. Experiments show that our model significantly outperforms the state-of-the-art methods on cross-modal fine-grained matching tasks. We conduct the downstream task experiments on the benchmark dataset CUHK-PEDES and the experimental results demonstrate that our model is state-of-the-art and outperforms the current methods by 11.55%, 11.02%, and 7.76% in terms of top-1, top-5, and top-10 accuracy, respectively. © 2023 IEEE.

关键词contrastive learning multi-modal Siamese Network Text-based person search text-image
DOI10.1109/ICIP49359.2023.10222660
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收录类别CPCI-S
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:001106821001175
Scopus入藏号2-s2.0-85180805993
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/11536
专题理工科技学院
通讯作者Zhang, Hui
作者单位
1.Department of Computer Science and Technology, BNU-HKBU United International College
2.University of Edinburgh, United Kingdom
3.Department of Computer Science, Hong Kong Baptist University
4.University of Alberta, Canada
第一作者单位北师香港浸会大学
通讯作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Huang, Runlin,Wu, Shuyang,Jie, Leipinget al. SiamCLIM: Text-Based Pedestrian Search Via Multi-Modal Siamese Contrastive Learning[C]. NEW YORK, USA: IEEE, 2023: 1800-1804.
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