← Multimodal Sentiment Analysis
Papers with Code · CC BY-SA 4.0

CMU-MOSEI

아카이브 평가 15건 · 마지막 적재/변경

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
SeMUL-PCD
Accuracy
88.62
F1
89.04
Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation
2023-10-27
연결 없음
MMML
Accuracy
88.22
MAE
0.5072
F1
88.04
Acc-7
54.77
Acc-5
57.45
Corr
81.42
Multimodal Multi-loss Fusion Network for Sentiment Analysis
2023-08-01
코드 1
UniMSE
Accuracy
87.50
MAE
0.523
F1
87.46
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
2022-11-21
코드 1
SPECTRA
Accuracy
87.34
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment
2023-05-19
코드 1
Transformer-based joint-encoding
Accuracy
82.48
A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis
2020-06-29
코드 1
Modulated-fusion transformer
Accuracy
82.45
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition
2020-10-05
코드 1
MMLatch
Accuracy
82.4
MAE
0.7
MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis
2022-01-24
코드 1
Multilogue-Net
Accuracy
82.10
MAE
0.59
Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation
2020-02-19
코드 1
Proposed: B2 + B4 w/ multimodal fusion
Accuracy
81.14
Gated Mechanism for Attention Based Multimodal Sentiment Analysis
2020-02-21
연결 없음
CAE-LR
Accuracy
78
Unsupervised Multimodal Language Representations using Convolutional Autoencoders
2021-10-06
연결 없음
Graph-MFN
Accuracy
76.9
MAE
0.71
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
2018-07-01
연결 없음
MARLIN (ViT-L)
Accuracy
74.83
MARLIN: Masked Autoencoder for facial video Representation LearnINg
2022-11-12
코드 1
MARLIN (ViT-B)
Accuracy
73.7
MARLIN: Masked Autoencoder for facial video Representation LearnINg
2022-11-12
코드 1
MARLIN (ViT-S)
Accuracy
72.69
MARLIN: Masked Autoencoder for facial video Representation LearnINg
2022-11-12
코드 1
ALMT
MAE
0.526
Acc-7
54.28
Acc-5
55.96
Corr
0.779
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis
2023-10-09
코드 1