Deconfounded Multimodal Learning for Spatio-temporal Video Grounding-Reference-Cited by-同舟云学术

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Deconfounded Multimodal Learning for Spatio-temporal Video Grounding

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Wang Jiawei¹^ORCID,Ma Zhanchang¹^ORCID,Cao Da¹^ORCID,Le Yuquan¹^ORCID,Xiao Junbin²^ORCID,Chua Tat-Seng²^ORCID

Affiliation:

1. Hunan University, Changsha, China

2. National University of Singapore, Singapore, Singapore

Funder

Natural Science Foundation of Hunan Province

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Scholarship Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3613822

Reference44 articles.

1. Localizing Moments in Video with Natural Language

2. STRONG: Spatio-Temporal Reinforcement Learning for Cross-Modal Video Moment Localization

3. End-to-End Object Detection with Transformers

4. Activity-driven Weakly-Supervised Spatio-Temporal Grounding from Untrimmed Videos

5. Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video

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