Tell me what you see: A zero-shot action recognition method based on natural language descriptions
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/s11042-023-16566-5.pdf
Reference66 articles.
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3. Carreira J, Noland E, Hillier C, Zisserman A (2019) A short note on the Kinetics-700 human action dataset. arXiv preprint arXiv:1907.06987
4. Heilbron FC, Escorcia V, Ghanem B, Niebles JC (2015) ActivityNet: A large-scale video benchmark for human activity understanding. In: Conf Comput Vis Pattern Recognit, pp 961–970. https://doi.org/10.1109/CVPR.2015.7298698
5. Wang Q, Chen K (2017) Zero-shot visual recognition via bidirectional latent embedding. Int J Comput Vis 124(3):356–383. https://doi.org/10.1007/s11263-017-1027-5
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1. Zero and few shot action recognition in videos with caption semantic and generative assist;International Journal of Information Technology;2024-04-07
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