AHMN: A multi-modal network for long MOOC videos chapter segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17654-2.pdf
Reference52 articles.
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3. Si C, Chen W, Wang W, Wang L, Tan T (2019) An attention enhanced graph convolutional lstm network for skeleton-based action recognition. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 1227–1236
4. Xiao Y, Yuan Q, Jiang K, Jin X, He J, Zhang L, Lin C-w (2023) Local-global temporal difference learning for satellite video super-resolution. IEEE Trans Circ Syst Vid Technol 1–16. https://doi.org/10.1109/TCSVT.2023.3312321
5. Xiao Y, Su X, Yuan Q, Liu D, Shen H, Zhang L (2022) Satellite video super-resolution via multiscale deformable convolution alignment and temporal grouping projection. IEEE Trans Geosci Remote Sens 60:1–19. https://doi.org/10.1109/TGRS.2021.3107352
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