One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-62362-3_18
Reference30 articles.
1. Kim, B.-K., Roh, J., Dong, S.-Y., Lee, S.-Y.: Hierarchical committee of deep convolutional neural networks for robust facial expression recognition. J. Multimodal User Interfaces 10(2), 173–189 (2016). https://doi.org/10.1007/s12193-015-0209-0
2. Liu, C., Tang, T., Lv, K., Wang, M.: Multi-feature based emotion recognition for video clips. In: Proceedings of the ACM International Conference on Multimodal Interaction, pp. 630–634. ACM, Boulder (2018)
3. Lu, C., Zheng, W., Li, C., Tang, C., Liu, S., Yan, S., Zong, Y.: Multiple spatio-temporal feature learning for video-based emotion recognition in the wild. In: Proceedings of the ACM International Conference on Multimodal Interaction, pp. 646–652. ACM, Boulder (2018)
4. Knyazev, B., Shvetsov, R., Efremova, N., Kuharenko, A.: Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video. arXiv preprint arXiv:1711.04598 (2017)
5. Bargal, S.A., Barsoum, E., Ferrer, C.C., Zhang, C.: Emotion recognition in the wild from videos using images. In: Proceedings of the ACM International Conference on Multimodal Interaction, pp. 433–436. ACM, Tokyo (2016)
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