SOTAVerified

Multimodal Emotion Recognition

This is a leaderboard for multimodal emotion recognition on the IEMOCAP dataset. The modality abbreviations are A: Acoustic T: Text V: Visual

Please include the modality in the bracket after the model name.

All models must use standard five emotion categories and are evaluated in standard leave-one-session-out (LOSO). See the papers for references.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 180 papers

TitleStatusHype
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause—0
Unimodal-driven Distillation in Multimodal Emotion Recognition with Dynamic Fusion—0
Using Auxiliary Tasks In Multimodal Fusion Of Wav2vec 2.0 And BERT For Multimodal Emotion Recognition—0
Using Large Pre-Trained Models with Cross-Modal Attention for Multi-Modal Emotion Recognition—0
Versatile audio-visual learning for emotion recognition—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
MULTI-MODAL EMOTION RECOGNITION ON IEMOCAP WITH NEURAL NETWORKS.—0
Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep LearningCode0
Combining deep and unsupervised features for multilingual speech emotion recognitionCode0
Attentive Modality Hopping Mechanism for Speech Emotion RecognitionCode0
VISTANet: VIsual Spoken Textual Additive Net for Interpretable Multimodal Emotion RecognitionCode0
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media VideosCode0
Multimodal Emotion Recognition Using Deep Canonical Correlation AnalysisCode0
Feature-Based Dual Visual Feature Extraction Model for Compound Multimodal Emotion RecognitionCode0
Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion RecognitionCode0
Modality-Collaborative Transformer with Hybrid Feature Reconstruction for Robust Emotion RecognitionCode0
Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled SamplesCode0
End-to-End Multimodal Emotion Recognition using Deep Neural NetworksCode0
Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the WildCode0
Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Incomplete Data ScenariosCode0
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment AnalysisCode0
Multimodal Sentiment Analysis using Hierarchical Fusion with Context ModelingCode0
Multimodal Speech Emotion Recognition and Ambiguity ResolutionCode0
Multimodal Speech Emotion Recognition Using Audio and TextCode0
Multi Teacher Privileged Knowledge Distillation for Multimodal Expression RecognitionCode0
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All datasetsIEMOCAP-4MELDIEMOCAPCMU-MOSEI-SentimentCMU-MOSEI-Sentiment-3Expressive hands and faces dataset (EHF).MELD-Sentiment

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F186.52—Unverified
2JoyfulWeighted F185.7—Unverified
3COGMENWeighted F184.5—Unverified
4DANNAccuracy82.7—Unverified
5MMERAccuracy81.7—Unverified
6PATHOSnet v2Accuracy80.4—Unverified
7Self-attention weight correction (A+T)Accuracy76.8—Unverified
8CHFusionAccuracy76.5—Unverified
9bc-LSTMWeighted F174.1—Unverified
10Audio + Text (Stage III)F170.5—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F166.71—Unverified
2Audio + Text (Stage III)Weighted F165.8—Unverified
3JoyfulWeighted F161.77—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F172.81—Unverified
2JoyfulWeighted F170.5—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F144.93—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F166.73—Unverified
#ModelMetricClaimedVerifiedStatus
1SMPLify-Xv2v error52.9—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F174.31—Unverified