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 11511175 of 2041 papers

TitleStatusHype
Building a Dialogue Corpus Annotated with Expressed and Experienced EmotionsCode0
A Survey on Physiological Signal Based Emotion Recognition0
Overcoming Language Disparity in Online Content Classification with Multimodal LearningCode0
A Peek at Peak Emotion Recognition0
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling0
Face Detection on Mobile: Five Implementations and Analysis0
Bias and Fairness on Multimodal Emotion Detection Algorithms0
M2R2: Missing-Modality Robust emotion Recognition framework with iterative data augmentation0
PANDAS@TamilNLP-ACL2022: Emotion Analysis in Tamil Text using Language Agnostic Embeddings0
GJG@TamilNLP-ACL2022: Emotion Analysis and Classification in Tamil using Transformers0
Varsini_and_Kirthanna@DravidianLangTech-ACL2022-Emotional Analysis in Tamil0
MUCS@DravidianLangTech@ACL2022: Ensemble of Logistic Regression Penalties to Identify Emotions in Tamil Text0
UMUTeam@LT-EDI-ACL2022: Detecting Signs of Depression from text0
UMUTeam@TamilNLP-ACL2022: Emotional Analysis in Tamil0
Multimodal fusion via cortical network inspired losses0
Findings of the Shared Task on Emotion Analysis in Tamil0
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models0
CUET-NLP@TamilNLP-ACL2022: Multi-Class Textual Emotion Detection from Social Media using Transformer0
Emotion Analysis of Writers and Readers of Japanese Tweets on VaccinationsCode0
SSNCSE_NLP@TamilNLP-ACL2022: Transformer based approach for Emotion analysis in Tamil language0
SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis0
Ethics Sheets for AI Tasks0
JudithJeyafreedaAndrew@TamilNLP-ACL2022:CNN for Emotion Analysis in Tamil0
Gaze-enhanced Crossmodal Embeddings for Emotion Recognition0
Climate and Weather: Inspecting Depression Detection via Emotion Recognition0
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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