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Springer Nature Switzerland
Reference59 articles.
1. Barros, P., Parisi, G., Wermter, S.: A personalized affective memory model for improving emotion recognition. In: International Conference on Machine Learning, pp. 485–494 (2019)
2. Bera, A., Randhavane, T., Manocha, D.: Modelling multi-channel emotions using facial expression and trajectory cues for improving socially-aware robot navigation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (2019)
3. Cerf, M., Frady, E.P., Koch, C.: Faces and text attract gaze independent of the task: experimental data and computer model. J. Vis. 9(12), 10 (2009)
4. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: International Conference on Machine Learning, pp. 1597–1607 (2020)
5. Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014, Doha, Qatar, pp. 1724–1734. ACL (2014)
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