The aim of facial expression recognition is to classify human expressions from their face images. In this work, we propose a novel neural network-based pipeline ...
Jul 14, 2021 · Facial expression recognition, deep convolutional neural network, basic expressions, compound expressions. View full-text. Conference Paper. A ...
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Cited by ; Hybrid separable convolutional inception residual network for human facial expression recognition. X Fan, R Qureshi, AR Shahid, J Cao, L Yang, H Yan.
Oct 16, 2021 · [29] proposed a hybrid attention cascade network for facial expression recognition with the highest accuracy of 98.46% in the CK+ dataset. Liu ...
Many techniques proposed to increase the accuracy of emotions recognition from facial cues. Architecture such as convolutional neural networks demonstrates ...
A lite convolutional neural network built on permuted Xceptio-inception and Xceptio-reduction modules for texture based facial liveness recognition · Hybrid ...
Jan 5, 2022 · In Fan et al. (2020), a hybrid separable convolutional inception residual network (HSCIRN) for FER was developed, which reduces the number of ...
Jun 23, 2024 · Detection of human emotions through facial expressions using hybrid convolutional neural network-recurrent neural network algorithm. Intell ...
Proposes a novel model of improved CNN architecture with Residual Blocks for Facial Expression Recognition, and compares it to a network without Residual ...
This paper introduces a hybrid feature extraction network model to bolster the discriminative capacity of emotional features for multimedia applications. The ...
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