📊 Showing 5 results | 📏 Metric: Accuracy
| Rank | Model | Paper | Accuracy | Date | Code |
|---|---|---|---|---|---|
| 1 | Rule Based | Understanding Dynamic Scenes using Graph Convolution Networks | 90.00 | 2020-05-09 | 📦 ma8sa/Undersrtanding-Dynamic-Scenes-using-MR-GCN |
| 2 | Rel-Att-GCN | Understanding Dynamic Scenes using Graph Convolution Networks | 89.00 | 2020-05-09 | 📦 ma8sa/Undersrtanding-Dynamic-Scenes-using-MR-GCN |
| 3 | MRGCN | Understanding Dynamic Scenes using Graph Convolution Networks | 86.00 | 2020-05-09 | 📦 ma8sa/Undersrtanding-Dynamic-Scenes-using-MR-GCN |
| 4 | MRGCN-LSTM | Understanding Dynamic Scenes using Graph Convolution Networks | 72.00 | 2020-05-09 | 📦 ma8sa/Undersrtanding-Dynamic-Scenes-using-MR-GCN |
| 5 | St-RNN | Understanding Dynamic Scenes using Graph Convolution Networks | 63.00 | 2020-05-09 | 📦 ma8sa/Undersrtanding-Dynamic-Scenes-using-MR-GCN |