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Robust real-time emotion detection system using CNN architecture
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Convolutional neural networks at constrained time cost
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The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression
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Convolutional Neural Network Based on Principal Component Analysis Initialization for Image Classification
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Convolution neural network for automatic facial expression recognition
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Feature Extraction for Emotion Recognition and Modelling Using Neurophysiological Data
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Facial emotion recognition using deep convolutional networks
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Indian Movie Face Database: A benchmark for face recognition under wide variations
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EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
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Automatic Estimation of Taste Liking Through Facial Expression Dynamics
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Challenges in Representation Learning: A report on three machine learning contests
inferredcites →https://doi.org/10.48550/arxiv.1704.06756openalex-snapshot
Convolutional Neural Networks for Facial Expression Recognition
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Real-time Convolutional Neural Networks for Emotion and Gender Classification
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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