| SDT |
- Weighted-F1
- 74.08
- Accuracy
- 73.95
|
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations 2023-10-31 |
코드 1 |
| GraphSmile |
- Weighted-F1
- 72.81
- Accuracy
- 72.77
|
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition 2024-07-31 |
코드 1 |
| SpeechCueLLM |
- Weighted-F1
- 72.596
|
Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances 2024-07-31 |
코드 1 |
| MPT-HCL |
- Weighted-F1
- 72.51
- Accuracy
- 72.83
|
Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation 2023-10-04 |
연결 없음 |
| CKERC |
- Weighted-F1
- 72.40
|
CKERC : Joint Large Language Models with Commonsense Knowledge for Emotion Recognition in Conversation 2024-03-12 |
연결 없음 |
| EmoCaps |
- Weighted-F1
- 71.77
|
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition 2022-03-25 |
연결 없음 |
| DF-ERC |
- Weighted-F1
- 71.75
- Accuracy
- 71.84
|
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition 2023-08-08 |
연결 없음 |
| InstructERC |
- Weighted-F1
- 71.39
- Accuracy
- 71.68
|
InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models 2023-09-21 |
코드 1 |
| BiosERC |
- Weighted-F1
- 71.19
|
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks 2024-07-05 |
코드 1 |
| SAMGN |
- Weighted-F1
- 71.11
|
Structure-Aware Transformer for Graph Representation Learning 2022-02-07 |
코드 1 · 코드 2 · 코드 3 |
| CFN-ESA |
- Weighted-F1
- 71.04
- Accuracy
- 70.78
|
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition 2023-07-28 |
코드 1 |
| ELR-GNN |
- Weighted-F1
- 70.9
- Accuracy
- 70.6
|
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations 2024-06-27 |
연결 없음 |
| UniMSE |
- Weighted-F1
- 70.66
- Accuracy
- 70.56
|
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition 2022-11-21 |
코드 1 |
| TelME |
- Weighted-F1
- 70.48
|
TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation 2024-01-16 |
코드 1 |
| EACL |
- Weighted-F1
- 70.41
|
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation 2024-03-29 |
코드 1 |
| LSDGNN+ICL |
- Weighted-F1
- 70.24
|
Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation 2025-07-21 |
코드 1 |
| GA2MIF |
- Weighted-F1
- 70.00
- Accuracy
- 69.75
|
GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection 2022-07-25 |
코드 1 |
| M2FNet |
- Weighted-F1
- 69.86
- Accuracy
- 69.69
|
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation 2022-06-05 |
연결 없음 |
| SPCL-CL-ERC |
- Weighted-F1
- 69.74
|
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation 2022-10-17 |
코드 1 |
| SACL-LSTM (one seed) |
- Weighted-F1
- 69.70
- Accuracy
- 69.62
|
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations 2023-06-02 |
코드 1 |
| EmotionIC |
- Weighted-F1
- 69.61
- Accuracy
- 69.44
|
EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation 2023-03-20 |
코드 1 |
| FATRER |
- Weighted-F1
- 69.35
- Accuracy
- 69.69
|
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition 2023-07-23 |
코드 1 |
| SACL-LSTM |
- Weighted-F1
- 69.22
- Accuracy
- 69.08
|
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations 2023-06-02 |
코드 1 |
| GraphCFC |
- Weighted-F1
- 68.91
- Accuracy
- 69.13
|
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition 2022-07-06 |
코드 1 |
| DAG-ERC+HCL |
- Weighted-F1
- 68.73
|
Hybrid Curriculum Learning for Emotion Recognition in Conversation 2021-12-22 |
연결 없음 |
| S+PAGE |
- Weighted-F1
- 68.72
|
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation 2021-12-23 |
연결 없음 |
| EmoBERTa |
- Weighted-F1
- 68.57
|
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa 2021-08-26 |
코드 1 |
| MM-DFN |
- Weighted-F1
- 68.18
- Accuracy
- 68.21
|
MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations 2022-03-04 |
코드 1 |
| DAG-ERC |
- Weighted-F1
- 68.03
|
Directed Acyclic Graph Network for Conversational Emotion Recognition 2021-05-27 |
코드 1 |
| AccumWR |
- Weighted-F1
- 67.65
|
Accumulating Word Representations in Multi-level Context Integration for ERC Task 2023-11-06 |
코드 1 |