Improving accuracy of temporal action detection by deep hybrid convolutional network
Author:
Funder
the National Key R&D Program of China
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/s11042-022-13962-1.pdf
Reference73 articles.
1. Aghaahmadi M, Dehshibi MM, Bastanfard A, Fazlali M (2013) Clustering Persian viseme using phoneme subspace for developing visual speech application. Multimedia Tools & Applications 65:521–541
2. Alwassel H, Giancola S, Ghanem B (2021) Tsp: Temporally-sensitive pretraining of video encoders for localization tasks. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp 3173–3183
3. Bagchi A, Mahmood J, Fernandes D, Sarvadevabhatla RK (2021) Hear Me Out: Fusional approaches for audio augmented temporal action localization. arXiv:2106.14118
4. Bartlett PL, Wegkamp MH (2008) Classication with a reject option using a hinge loss. J Mach Learn Res 9(8)
5. Bastanfard A, Aghaahmadi M, Fazel M et al (2009) Persian viseme classifcation for developing visual speech training application. In: Pacifcrim conference on multimedia, PCM
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