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Recognition on Modality-Specific Annotated Videos",
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        TITLE = "YOWOv3: A Lightweight Spatio-Temporal Joint Network for Video Action
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        TITLE = "Human-Centric Transformer for Domain Adaptive Action Recognition",
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        TITLE = "Graph Convolutional Networks with Minimal Appearance Information for
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        TITLE = "JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset
Student-Teacher Scenario for Video Action Recognition",
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        AUTHOR = "Liu, S.M. and Xu, M.M. and Zhao, C. and Zhao, X. and Ghanem, B.",
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        YEAR = "2022",
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@inproceedings{bb200268,
        AUTHOR = "Ye, N. and Zhang, X. and Yan, D.W. and Dong, W. and Yan, Q.S.",
        TITLE = "SCOAD: Single-Frame Click Supervision for Online Action Detection",
        BOOKTITLE = ACCV22,
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@inproceedings{bb200269,
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        BOOKTITLE = MMMod23,
        YEAR = "2023",
        PAGES = "I: 95-106",
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        AUTHOR = "Guo, J.X. and Zhang, J.Q. and Zhang, X.J. and Ma, M.",
        TITLE = "LAE-Net: Light and Efficient Network for Compressed Video Action
Recognition",
        BOOKTITLE = MMMod23,
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        AUTHOR = "Lu, Y.F. and Singh, G. and Saha, S. and Van Gool, L.J.",
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