Emotion Recognition on IEMOCAP-4

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	GraphSmile	86.53	No	Tracing Intricate Cues in Dialogue: Joint Graph ...	2024-07-31	Code
2	GraphSmile	86.53	No	Tracing Intricate Cues in Dialogue: Joint Graph ...	2024-07-31	Code
3	Joyful	85.6	No	Joyful: Joint Modality Fusion and Graph Contrast...	2023-11-18	Code
4	M3Net	83.67	No	-	-	Code
5	DANN	82.7	No	-	-	-
6	MMER	81.7	No	MMER: Multimodal Multi-task Learning for Speech ...	2022-03-31	Code
7	DialogueCRN	81.34	No	DialogueCRN: Contextual Reasoning Networks for E...	2021-06-03	Code
8	MM-DFN	80.91	No	MM-DFN: Multimodal Dynamic Fusion Network for Em...	2022-03-04	Code
9	SACL-LSTM	80.7	No	Supervised Adversarial Contrastive Learning for ...	2023-06-02	Code
10	PATHOSnet v2	80.4	No	-	-	Code
11	MMGCN	79.75	No	MMGCN: Multimodal Fusion via Deep Graph Convolut...	2021-07-14	Code
12	Self-attention weight correction (A+T)	76.8	No	-	-	-
13	CHFusion	76.5	No	Multimodal Sentiment Analysis using Hierarchical...	2018-06-16	Code

#1GraphSmileSOTA
86.53
Accuracy· 2024-07-31
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition Code
#2GraphSmile
86.53
Accuracy· 2024-07-31
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition Code
#3JoyfulSOTA
85.6
Accuracy· 2023-11-18
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition Code
#4M3Net
83.67
Accuracy
No paperCode
#5DANN
82.7
Accuracy
No paper
#6MMERSOTA
81.7
Accuracy· 2022-03-31
MMER: Multimodal Multi-task Learning for Speech Emotion Recognition Code
#7DialogueCRNSOTA
81.34
Accuracy· 2021-06-03
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations Code
#8MM-DFN
80.91
Accuracy· 2022-03-04
MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations Code
#9SACL-LSTM
80.7
Accuracy· 2023-06-02
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations Code
#10PATHOSnet v2
80.4
Accuracy
No paperCode
#11MMGCN
79.75
Accuracy· 2021-07-14
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation Code
#12Self-attention weight correction (A+T)
76.8
Accuracy
No paper
#13CHFusionSOTA
76.5
Accuracy· 2018-06-16
Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling Code