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 226250 of 2041 papers

TitleStatusHype
Graph Based Network with Contextualized Representations of Turns in DialogueCode1
Speech Emotion Recognition with Multi-Task LearningCode1
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTaCode1
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationCode1
HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion RecognitionCode1
Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing ModalitiesCode1
Towards Unbiased Visual Emotion Recognition via Causal InterventionCode1
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activityCode1
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion RecognitionCode1
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in ConversationCode1
Codified audio language modeling learns useful representations for music information retrievalCode1
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive FusionCode1
Ethics Sheets for AI TasksCode1
iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion AnalysisCode1
Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual QualitiesCode1
Efficient Speech Emotion Recognition Using Multi-Scale CNN and AttentionCode1
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in ConversationsCode1
WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective AnnotationsCode1
Directed Acyclic Graph Network for Conversational Emotion RecognitionCode1
Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the WildCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Technical Report for Valence-Arousal Estimation on Affwild2 DatasetCode1
Facial Emotion Recognition Using Transfer Learning in the Deep CNNCode1
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from SpeechCode1
Exploring Visual Engagement Signals for Representation LearningCode1
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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