Method of Transfer Deap Learning Convolutional Neural Networks for Automated Recognition Facial Expression Systems-Reference-Cited by-同舟云学术

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Method of Transfer Deap Learning Convolutional Neural Networks for Automated Recognition Facial Expression Systems

Published:2021-07-23 Issue: Volume: Page:744-761
ISSN:2367-4512
Container-title:Lecture Notes in Computational Intelligence and Decision Making
language:
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Author:

Olena Arsirii^ORCID,Petrosiuk Denys^ORCID,Oksana Babilunha^ORCID,Anatolii Nikolenko^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-82014-5_51

Reference32 articles.

1. Almaev, T., Martinez, B., Valstar, M.: Learning to transfer: transferring latent task structures and its application to person-specific facial action unit detection. In: 2015 IEEE International Conference on Computer Vision (ICCV 2015), pp. 3774–3782 (2015). https://doi.org/10.1109/ICCV.2015.430

2. Almaev, T., Valstar, M.: Local gabor binary patterns from three orthogonal planes for automatic facial expression recognition. In: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (2013). https://doi.org/10.1109/ACII.2013.65

3. Arsirii, O., Antoshchuk, S., Babilunha, O., Manikaeva, O., Nikolenko, A.: Intellectual information technology of analysis of weakly-structured multi-dimensional data of sociological research. In: Lytvynenko, V., Babichev, S., Wójcik, W., Vynokurova, O., Vyshemyrskaya, S., Radetskaya, S. (eds.) Lecture Notes in Computational Intelligence and Decision Making, pp. 242–258. Springer International Publishing, Cham (2020). https://doi.org/10.1007/978-3-030-26474-1_18

4. Baltrusaitis, T., Mahmoud, M., Robinson, P.: Cross-dataset learning and person-specific normalisation for automatic action unit detection. In: 2015 IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, vol. 6, pp. 1–6 (2015). https://doi.org/10.1109/FG.2015.7284869

5. Bianco, S., Cadene, R., Celona, L., Napoletano, P.: Benchmark analysis of representative deep neural network architectures. IEEE Access 6, 64270–64277 (2018). https://doi.org/10.1109/ACCESS.2018.2877890

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