Multimodal Activity Recognition On Mmact
Metrics
F1-Score (Cross-Session)
F1-Score (Cross-Subject)
Results
Performance results of various models on this benchmark
Model Name | F1-Score (Cross-Session) | F1-Score (Cross-Subject) | Paper Title | Repository |
|---|---|---|---|---|
| Multi-GAT | 91.48 | 75.24 | Multi-GAT: A Graphical Attention-based Hierarchical Multimodal Representation Learning Approach for Human Activity Recognition | - |
| Fusion-GCN | - | 89.60 | Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks | |
| MuMu | 87.50 | 76.28 | MuMu: Cooperative Multitask Learning-based Guided Multimodal Fusion | - |
0 of 3 row(s) selected.