ResMaskNet Model Description resmasknet combines residual masking with unet architecture to predict 7 facial emotion categories from images. Model Details Model Type : Convolutional Neural Network (CNN) Architecture : Residual masking network with u network. Output layer classifies 7 emotion categories Input Size : 224x224 pixels Framework : PyTorch Model Sources Repository : GitHub Repository Paper : Facial Expression Recognition Using Residual Masking Network Citation If you use the svm au model in your research or application, please cite the following paper: Pham Luan, The Huynh Vu, and Tuan Anh Tran. "Facial Expression Recognition using Residual Masking Network". In: Proc. ICPR. 2020. Acknowledgements We thank Luan Pham for generously sharing this model with a permissive license. Example Useage
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