FER-YOLO: Detection and Classification Based on Facial Expressions

[1]  Hazlina Md Yusof,et al.  Implementation of Wavelet Analysis on Thermal Images for Affective States Recognition of Children With Autism Spectrum Disorder , 2020, IEEE Access.

[2]  Giuseppe Placidi,et al.  Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives , 2020, Frontiers in Robotics and AI.

[3]  Haifeng Hu,et al.  Facial Expression Recognition Using Hierarchical Features With Deep Comprehensive Multipatches Aggregation Convolutional Neural Networks , 2019, IEEE Transactions on Multimedia.

[4]  Hui Ma,et al.  Lightweight attention convolutional neural network through network slimming for robust facial expression recognition , 2021, Signal, Image and Video Processing.

[5]  Turgay Celik,et al.  FER‐Net: facial expression recognition using densely connected convolutional network , 2019, Electronics Letters.

[6]  Enhua Wu,et al.  Squeeze-and-Excitation Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Wei Liu,et al.  SSD: Single Shot MultiBox Detector , 2015, ECCV.

[8]  Ross B. Girshick,et al.  Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Anis Yazidi,et al.  FER-net: facial expression recognition using deep neural net , 2021, Neural Computing and Applications.

[10]  Christophe Garcia,et al.  Simplifying ConvNets for Fast Learning , 2012, ICANN.

[11]  Erik Cambria,et al.  A review of affective computing: From unimodal analysis to multimodal fusion , 2017, Inf. Fusion.