Bridging Video-text Retrieval with Multiple Choice Questions

Author:

Ge Yuying1,Ge Yixiao2,Liu Xihui3,Li Dian4,Shan Ying2,Qie Xiaohu5,Luo Ping1

Affiliation:

1. The University of Hong Kong

2. ARC Lab

3. UC Berkeley

4. Content Understanding Center

5. Tencent PCG

Publisher

IEEE

Cited by 71 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. Learning Commonsense-aware Moment-Text Alignment for Fast Video Temporal Grounding;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-09-12

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

3. LSECA: local semantic enhancement and cross aggregation for video-text retrieval;International Journal of Multimedia Information Retrieval;2024-07-22

4. M 2 -RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

5. Chinese Title Generation for Short Videos: Dataset, Metric and Algorithm;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-07

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