Weakly Supervised Video Moment Retrieval via Location-irrelevant Proposal Learning-Reference-Cited by-同舟云学术

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Weakly Supervised Video Moment Retrieval via Location-irrelevant Proposal Learning

Published:2024-05-13 Issue: Volume:33 Page:1595-1603
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2024
language:
Short-container-title:

Author:

Ji Wei¹^ORCID,Shi Ruiqi²^ORCID,Wei Yinwei³^ORCID,Zhao Shanshan⁴^ORCID,Zimmermann Roger⁵^ORCID

Affiliation:

1. National Univerisity of Singapore, Singapore, Singapore

2. Shanghai Jiao Tong University, Shanghai, China

3. Monash University, Melboune, Australia

4. The University of Sydney, Sydney, Australia

5. National University of Singapore, Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3651942

Reference48 articles.

1. Lisa Anne Hendricks Oliver Wang Eli Shechtman Josef Sivic Trevor Darrell and Bryan Russell. 2017. Localizing moments in video with natural language. In ICCV. 5803--5812.

2. Max Bain Arsha Nagrani Gül Varol and Andrew Zisserman. 2021. Frozen in time: A joint video and image encoder for end-to-end retrieval. In ICCV. 1728--1738.

3. Language models are few-shot learners;Brown Tom;NeurIPS,2020

4. Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles. 2015. Activitynet: A large-scale video benchmark for human activity understanding. In CVPR. 961--970.

5. Meng Cao, Tianyu Yang, Junwu Weng, Can Zhang, Jue Wang, and Yuexian Zou. 2022. Locvtp: Video-text pre-training for temporal localization. In ECCV. Springer, 38--56.

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