Composed Image Retrieval via Cross Relation Network With Hierarchical Aggregation Transformer

Author:

Yang Qu1ORCID,Ye Mang1ORCID,Cai Zhaohui1ORCID,Su Kehua1ORCID,Du Bo1ORCID

Affiliation:

1. National Engineering Research Center for Multimedia Software, School of Computer Science, Hubei Luojia Laboratory, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Key Research and Development Project of Hubei Province

Special Fund of Hubei Luojia Laboratory

Bingtuan Science and Technology Program

CAAI-Huawei MindSpore Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 4 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. Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-03-08

3. Fabric image retrieval based on multi-modal feature fusion;Signal, Image and Video Processing;2024-01-19

4. Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension;IEEE Transactions on Image Processing;2023

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