Knowledge Commons of Institute of Automation,CAS
The Model May Fit You: User-Generalized Cross-Modal Retrieval | |
Ma, Xinhong1,2; Yang, Xiaoshan1,2,3; Gao, Junyu1,2; Xu, Changsheng1,2,3 | |
发表期刊 | IEEE TRANSACTIONS ON MULTIMEDIA |
ISSN | 1520-9210 |
2021-06-25 | |
卷号 | 24页码:2998-3012 |
摘要 | In real-world applications, a cross-model retrieval model trained on multimodal instances without considering differences in data distributions among users, termed as user domain shift, usually cannot generalize well to unknown user domains. In this paper, we define a new task of user-generalized cross-modal retrieval, and propose a novel Meta-Learning Multimodal User Generalization (MLMUG) method to solve it. MLMUG simulates the user domain shift with meta-optimization, which aims to embed multimodal data effectively and generalize the cross-modal retrieval model to any unknown user domains. We design a cross-modal embedding network with a learnable meta covariant attention module to encode transferable knowledge among different user domains. A user-adaptive meta-optimization scheme is proposed to adaptively aggregate gradients and meta-gradients for fast and stable meta-optimization. We build two benchmarks for user-generalized cross-modal retrieval evaluation. Experiments on the proposed benchmarks validate the generalization of our method compared with several state-of-the-art methods. |
关键词 | cross-modal retrieval domain generalization meta-learning |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Key Research Program of Frontier Sciences, CAS[QYZDJSSWJSC039] ; National Natural Science Foundation of China[U1705262] ; National Natural Science Foundation of China[U1836220] ; National Natural Science Foundation of China (NSFC)[61720106006] ; National Natural Science Foundation of China (NSFC)[61721004] |
WOS记录号 | WOS:000809408000025 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48795 |
专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
通讯作者 | Xu, Changsheng |
作者单位 | 1.National Lab of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA) 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.Peng Cheng Laboratory, Shenzhen, China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Ma, Xinhong,Yang, Xiaoshan,Gao, Junyu,et al. The Model May Fit You: User-Generalized Cross-Modal Retrieval[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2021,24:2998-3012. |
APA | Ma, Xinhong,Yang, Xiaoshan,Gao, Junyu,&Xu, Changsheng.(2021).The Model May Fit You: User-Generalized Cross-Modal Retrieval.IEEE TRANSACTIONS ON MULTIMEDIA,24,2998-3012. |
MLA | Ma, Xinhong,et al."The Model May Fit You: User-Generalized Cross-Modal Retrieval".IEEE TRANSACTIONS ON MULTIMEDIA 24(2021):2998-3012. |
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MLMUG-TMM2021.pdf(6549KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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