Facial Emotion Recognition
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Benchmarks
Most implemented
Facial Emotion Recognition: State of the Art Performance on FER2013
Facial Emotion Recognition Using Transfer Learning in the Deep CNN
Convolutional Neural Network Hyperparameters optimization for Facial Emotion Recognition
EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression Recognition
EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
Papers
A Multiscale Network with Supervised Contrastive Learning for Real-Time Facial Emotion Recognition
Real-time emotion recognition from facial expressions is a challenging task, particularly in video-based scenarios where multiple emotional states may occur over time. The difficulty increases further due to the fact tha…
Facial Emotion RecognitionContrastive LearningImproving Facial Emotion Recognition through Dataset Merging and Balanced Training Strategies
In this paper, a deep learning framework is proposed for automatic facial emotion based on deep convolutional networks. In order to increase the generalization ability and the robustness of the method, the dataset size i…
Facial Emotion RecognitionTowards Emotion Recognition with 3D Pointclouds Obtained from Facial Expression Images
Facial Emotion Recognition is a critical research area within Affective Computing due to its wide-ranging applications in Human Computer Interaction, mental health assessment and fatigue monitoring. Current FER methods p…
Facial Emotion RecognitionRevisiting Emotions Representation for Recognition in the Wild
Facial emotion recognition has been typically cast as a single-label classification problem of one out of six prototypical emotions. However, that is an oversimplification that is unsuitable for representing the multifac…
Facial Emotion RecognitionFacial Emotion Recognition on FER-2013 using an EfficientNetB2-Based Approach
Detection of human emotions based on facial images in real-world scenarios is a difficult task due to low image quality, variations in lighting, pose changes, background distractions, small inter-class variations, noisy …
Facial Emotion RecognitionData AugmentationBioNIC: Biologically Inspired Neural Network for Image Classification Using Connectomics Principles
We present BioNIC, a multi-layer feedforward neural network for emotion classification, inspired by detailed synaptic connectivity graphs from the MICrONs dataset. At a structural level, we incorporate architectural cons…
Facial Emotion RecognitionEmotion ClassificationImage ClassificationData Augmentation