Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order

By Andre Teixeira Lopes, Edilson de Aguiar, A. D. Souza, Thiago Oliveira-Santos. 2017

730 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology

Citations in the corpus

• Facial Landmark Detection: A Literature Survey (2018, neutral): “The model complexity is on par with the deep models used for other related face analysis tasks, such as head pose estimation [70], age and gender estimation [55], and facial expression recognition [58], which usually have similar or smaller numbers of convolutional layers.”