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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 11–20 of 180 papers

Title	Date	Tasks	Status	Hype	Score
Cooperative Sentiment Agents for Multimodal Sentiment Analysis	Apr 19, 2024	DisentanglementEmotion Recognition	CodeCode Available	1	5
A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition	Nov 3, 2021	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	1	5
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition	Feb 27, 2024	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	1	5
Decoupled Multimodal Distilling for Emotion Recognition	Mar 24, 2023	Emotion RecognitionKnowledge Distillation	CodeCode Available	1	5
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition	Nov 9, 2021	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	1	5
Towards Emotion Analysis in Short-form Videos: A Large-Scale Dataset and Baseline	Nov 29, 2023	audio-visual learningForm	CodeCode Available	1	5
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition	Jul 28, 2023	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	1	5
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN	May 5, 2022	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	1	5
Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion Recognition	Aug 18, 2024	Contrastive LearningEmotion Recognition	CodeCode Available	1	5
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition	Mar 28, 2022	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	1	5

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All datasets IEMOCAP-4 MELD IEMOCAP CMU-MOSEI-Sentiment CMU-MOSEI-Sentiment-3 Expressive hands and faces dataset (EHF).MELD-Sentiment

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	86.52	—	Unverified
2	Joyful	Weighted F1	85.7	—	Unverified
3	COGMEN	Weighted F1	84.5	—	Unverified
4	DANN	Accuracy	82.7	—	Unverified
5	MMER	Accuracy	81.7	—	Unverified
6	PATHOSnet v2	Accuracy	80.4	—	Unverified
7	Self-attention weight correction (A+T)	Accuracy	76.8	—	Unverified
8	CHFusion	Accuracy	76.5	—	Unverified
9	bc-LSTM	Weighted F1	74.1	—	Unverified
10	Audio + Text (Stage III)	F1	70.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	66.71	—	Unverified
2	Audio + Text (Stage III)	Weighted F1	65.8	—	Unverified
3	Joyful	Weighted F1	61.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	72.81	—	Unverified
2	Joyful	Weighted F1	70.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	44.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	66.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SMPLify-X	v2v error	52.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	74.31	—	Unverified