The illustration of noise in pseudo label.

<p>Pseudo label noisy consists of two parts, one is the classification error, the other is boundary offset.</p>

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Bibliographic Details
Main Author:	Lingwen Meng (8968106) (author)
Other Authors:	Guobang Ban (20678392) (author), Guanghui Xi (8083121) (author), Siqi Guo (355869) (author)
Published:	2025
Subjects:	Biochemistry Microbiology Physiology Biotechnology Science Policy Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified three key components refined temporal interval experimental results show attracted increasing attention advanced sstal methods achieves significant improvement ablation experiments show study uses actionformer manually annotated data tal pseudo label method called pseudo localization accuracy compared pseudo label refining label refining pseudo label unlabeled data study proposes consuming compared propose pseudo label self label rate supervised method method proposed xlink "> video annotation student framework multiple inference large amount labels obtained image annotation different qualities combines labeled boundary accuracy activitynet v1 60 %. 3 datasets
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