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 19011950 of 2041 papers

TitleStatusHype
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition0
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition0
EmoCaps:Emotion Capsule based Model for Conversationl Emotion Recognition0
EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations0
EmoDiarize: Speaker Diarization and Emotion Identification from Speech Signals using Convolutional Neural Networks0
EmoDNN: Understanding emotions from short texts through a deep neural network ensemble0
EMOE: Modality-Specific Enhanced Dynamic Emotion Experts0
EmoFormer: A Text-Independent Speech Emotion Recognition using a Hybrid Transformer-CNN model0
EmoGraph: Capturing Emotion Correlations using Graph Networks0
EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues0
EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in \#Tweets0
EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition0
EmoNets: Multimodal deep learning approaches for emotion recognition in video0
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions0
EmoSens: Emotion Recognition based on Sensor data analysis using LightGBM0
EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes0
EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network0
EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle0
EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model0
EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition0
Emotional Images: Assessing Emotions in Images and Potential Biases in Generative Models0
Emotional Intelligence of Large Language Models0
Emotionally-Informed Models for Detecting Moments of Change and Suicide Risk Levels in Longitudinal Social Media Data0
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation0
Emotional Theory of Mind: Bridging Fast Visual Processing with Slow Linguistic Reasoning0
Emotional Voice Messages (EMOVOME) database: emotion recognition in spontaneous voice messages0
Emotion analysis and detection during COVID-190
Emotion Analysis of Songs Based on Lyrical and Audio Features0
Emotion Analysis of Tweets Banning Education in Afghanistan0
Emotion Analysis on EEG Signal Using Machine Learning and Neural Network0
Emotion Analysis on Twitter: The Hidden Challenge0
Emotion Analysis Platform on Chinese Microblog0
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets0
Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning0
EmotionCaps: Enhancing Audio Captioning Through Emotion-Augmented Data Generation0
Emotion Carrier Recognition from Personal Narratives0
Emotion Classification of Children Expressions0
Emotion controllable speech synthesis using emotion-unlabeled dataset with the assistance of cross-domain speech emotion recognition0
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text0
Emotion Detection in Code-switching Texts via Bilingual and Sentimental Information0
Emotion Detection in Reddit: Comparative Study of Machine Learning and Deep Learning Techniques0
Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach0
Emotion Detection through Body Gesture and Face0
Emotion Distribution Learning from Texts0
Emotion Dynamics Modeling via BERT0
Emotion Embeddings x2014 Learning Stable and Homogeneous Abstractions from Heterogeneous Affective Datasets0
Automatic Emotion Experiencer Recognition0
Emotion Generation and Recognition: A StarGAN Approach0
Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis0
Emotion in Code-switching Texts: Corpus Construction and Analysis0
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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