Semi-supervised action recognition using logit aligned consistency and adaptive negative learning

Semi-supervised action recognition using logit aligned consistency and adaptive negative learning

Abstract With the development of the socialized video era, while semi-supervised action recognition can address the increasingly high costs of video annotation, it still faces significant challenges, particularly in the underexplored application of Vision Transformer. In this paper, we present our w...

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Bibliographic Details
Main Authors: Fengyun Zuo, Yang Xu, Minggang Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Adaptive negative learning
Logit standardization preprocessing
Negative labels
Semi-supervised action recognition
Vision transformer
Online Access:https://doi.org/10.1038/s41598-025-01922-2
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https://doi.org/10.1038/s41598-025-01922-2

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