SOTAVerified

Emotion Recognition

Emotion Recognition is an important area of research to enable effective human-computer interaction. Human emotions can be detected using speech signal, facial expressions, body language, and electroencephalography (EEG). Source: Using Deep Autoencoders for Facial Expression Recognition

Papers

Showing 16511700 of 2041 papers

TitleStatusHype
EEG based Emotion Recognition of Image Stimuli0
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion RegressionCode0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
Multimodal Embeddings from Language ModelsCode0
Learning Alignment for Multimodal Emotion Recognition from SpeechCode0
Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learning0
Sentiment and Emotion Based Representations for Fake Reviews Detection0
Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods0
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning0
EmotionX-IDEA: Emotion BERT -- an Affectional Model for ConversationCode0
Context-Aware Emotion Recognition NetworksCode0
Multimodal Emotion Recognition Using Deep Canonical Correlation AnalysisCode0
User independent Emotion Recognition with Residual Signal-Image Network0
Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition0
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning0
Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets0
Deep Temporal Analysis for Non-Acted Body Affect Recognition0
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings0
Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion AnalysisCode0
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition0
Attending to Emotional NarrativesCode0
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features0
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition0
EmotionX-KU: BERT-Max based Contextual Emotion ClassifierCode0
End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training0
Emotion Recognition Using Fusion of Audio and Video Features0
Multimodal and Multi-view Models for Emotion Recognition0
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition0
Identifying Emotions from Walking using Affective and Deep Features0
Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation0
Deep Learning based Emotion Recognition System Using Speech Features and TranscriptionsCode0
Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition0
Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild0
THU\_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN0
ParallelDots at SemEval-2019 Task 3: Domain Adaptation with feature embeddings for Contextual Emotion Analysis0
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally0
KSU at SemEval-2019 Task 3: Hybrid Features for Emotion Recognition in Textual Conversation0
Crowdsourcing and Validating Event-focused Emotion Corpora for German and English0
A New Multilabel System for Automatic Music Emotion Recognition0
Two-level Explanations in Music Emotion Recognition0
EEG Classification by factoring in Sensor Configuration0
Oculum afficit: Ocular Affect Recognition0
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis0
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis0
A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition0
Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances0
Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal NetworksCode0
Group Emotion Recognition Using Machine Learning0
A new model for the implementation of positive and negative emotion recognition0
Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPEmoA77.4Unverified
2M2D2EmoA76.7Unverified
3M2DEmoA76.1Unverified
4Jukebox (Pre-training: CALM)EmoA72.1Unverified
5CLMR (Pre-training: contrastive)EmoA67.8Unverified
#ModelMetricClaimedVerifiedStatus
1LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+AttentionAccuracy86.7Unverified
2MultiMAE-DERWAR83.61Unverified
3Intermediate-Attention-FusionAccuracy81.58Unverified
4Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedSTAccuracy80.08Unverified
5ERANN-0-4Accuracy74.8Unverified
#ModelMetricClaimedVerifiedStatus
1CAGETop-3 Accuracy (%)14.73Unverified
2FocusCLIPTop-3 Accuracy (%)13.73Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy66.13Unverified
#ModelMetricClaimedVerifiedStatus
1MaSaC-ERC-ZF1-score (Weighted)51.17Unverified
#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy40.34Unverified
#ModelMetricClaimedVerifiedStatus
1w2v2-L-robust-12Concordance correlation coefficient (CCC)0.64Unverified
#ModelMetricClaimedVerifiedStatus
14D-aNNAccuracy96.1Unverified
#ModelMetricClaimedVerifiedStatus
1CNN1'"1Unverified