Performance evaluation results on the ActivityNet Captions, DiDeMo and Charades-STA datasets. We show the results with the mertic “R@n, IoU=m” where n ∈ {1, 10, 10}, m ∈ {0.5, 0.7}.

Performance evaluation results on the ActivityNet Captions, DiDeMo and Charades-STA datasets. We show the results with the mertic “R@n, IoU=m” where n ∈ {1, 10, 10}, m ∈ {0.5, 0.7}.

<p>Performance evaluation results on the ActivityNet Captions, DiDeMo and Charades-STA datasets. We show the results with the mertic “R@n, IoU=m” where n ∈ {1, 10, 10}, m ∈ {0.5, 0.7}.</p>

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Bibliographic Details
Main Author:	Lingwen Meng (8968106) (author)
Other Authors:	Fangyuan Liu (1438045) (author), Mingyong Xin (15185747) (author), Siqi Guo (355869) (author), Fu Zou (21370430) (author)
Published:	2025
Subjects:	Marine Biology Science Policy Plasma Physics Infectious Diseases Biological Sciences not elsewhere classified sophisticated network architecture perform sufficient experiments evaluation results demonstrate grained alignment information global contextual information fine alignment network video alignment module fine alignment information numerous videos according modal interaction module level information video retrieval video moment video collections single video two subtasks temporal boundary task due original problem moment retrieval existing methods directly scale
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