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
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations	Nov 1, 2018	Emotion ClassificationEmotion Recognition in Conversation	CodeCode Available	1
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
Emotion Recognition in Audio and Video Using Deep Neural Networks	Jun 15, 2020	Deep LearningEmotion Recognition	CodeCode Available	1
Towards Emotion Analysis in Short-form Videos: A Large-Scale Dataset and Baseline	Nov 29, 2023	audio-visual learningForm	CodeCode Available	1
Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalities	Oct 27, 2022	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	1
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition	Nov 9, 2021	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	1
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction	Nov 8, 2023	Emotion RecognitionGraph Neural Network	CodeCode Available	1
Cooperative Sentiment Agents for Multimodal Sentiment Analysis	Apr 19, 2024	DisentanglementEmotion Recognition	CodeCode Available	1
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition	Feb 27, 2024	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	1
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition	Mar 28, 2022	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	1

Show:10 25 50

← PrevPage 2 of 18Next →

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