Debiased Video-Text Retrieval via Soft Positive Sample Calibration

Author:

Zhang Huaiwen1ORCID,Yang Yang1ORCID,Qi Fan2,Qian Shengsheng3ORCID,Xu Changsheng3ORCID

Affiliation:

1. College of Computer Science, Inner Mongolia University, Hohhot, China

2. School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China

3. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Inner Mongolia

Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region

Applied Technology Research and Development Program of Inner Mongolia Autonomous Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

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. Improving semantic video retrieval models by training with a relevance-aware online mining strategy;Computer Vision and Image Understanding;2024-08

2. Hierarchical Semantics Alignment for 3D Human Motion Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. JM-CLIP: A Joint Modal Similarity Contrastive Learning Model for Video-Text Retrieval;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Video–text retrieval via multi-modal masked transformer and adaptive attribute-aware graph convolutional network;Multimedia Systems;2024-01-22

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