X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval-Reference-Cited by-同舟云学术

X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
language:
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Author:

Ma Yiwei¹,Xu Guohai²,Sun Xiaoshuai¹,Yan Ming²,Zhang Ji²,Ji Rongrong¹

Affiliation:

1. Xiamen University, Xiamen, China

2. Alibaba Group, Hangzhou, China

Funder

the National Natural Science Foundation of China

the Natural Science Foundation of Fujian Province of China

Guangdong Basic and Applied Basic Research Foundatio

the National Science Fund for Distinguished Young Scholars

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547910

Reference66 articles.

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2. Localizing Moments in Video with Natural Language

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4. Max Bain , Arsha Nagrani , Gül Varol , and Andrew Zisserman . 2021. Frozen in time: A joint video and image encoder for end-to-end retrieval. arXiv preprint arXiv:2104.00650 ( 2021 ). Max Bain, Arsha Nagrani, Gül Varol, and Andrew Zisserman. 2021. Frozen in time: A joint video and image encoder for end-to-end retrieval. arXiv preprint arXiv:2104.00650 (2021).

5. Gedas Bertasius , Heng Wang , and Lorenzo Torresani . 2021. Is Space-Time At- tention All You Need for Video Understanding? arXiv preprint arXiv:2102.05095 ( 2021 ). Gedas Bertasius, Heng Wang, and Lorenzo Torresani. 2021. Is Space-Time At- tention All You Need for Video Understanding? arXiv preprint arXiv:2102.05095 (2021).

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