Local Compressed Video Stream Learning for Generic Event Boundary Detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s11263-023-01921-8.pdf
Reference69 articles.
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2. Arnab, A., Dehghani, M., Heigold, G., et al. (2021). Vivit: A video vision transformer. In: ICCV.
3. Caba Heilbron, F., Barrios, W., Escorcia, V., et al. (2017). Scc: Semantic context cascade for efficient action detection. In: CVPR.
4. Carreira, J., & Zisserman, A. (2017). Quo Vadis, action recognition? A new model and the kinetics dataset. In: CVPR.
5. Chao, Y. W., Vijayanarasimhan, S., Seybold, B., et al. (2018). Rethinking the faster R-CNN architecture for temporal action localization. In: CVPR.
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