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 12511275 of 2041 papers

TitleStatusHype
Towards Unbiased Visual Emotion Recognition via Causal InterventionCode1
Emotion analysis and detection during COVID-190
Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition0
Multi-modal Residual Perceptron Network for Audio-Video Emotion Recognition0
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activityCode1
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data AugmentationCode0
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
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey0
Codified audio language modeling learns useful representations for music information retrievalCode1
Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique0
Multitask Multi-database Emotion RecognitionCode0
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in TweetsCode0
Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer0
Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition0
Use of Affective Visual Information for Summarization of Human-Centric Videos0
An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wildCode0
Ethics Sheets for AI TasksCode1
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive FusionCode1
iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion AnalysisCode1
Pretext Tasks selection for multitask self-supervised speech representation learningCode0
Affective Image Content Analysis: Two Decades Review and New Perspectives0
Use of Variational Inference in Music Emotion Recognition0
A Circular-Structured Representation for Visual Emotion Distribution Learning0
Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences0
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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