Violence Detection on Crowd Violence
96.33AccuracyDIFEM
Evaluation Results
| Method | Links | |
|---|---|---|
| DIFEMclassifier=Random Forest, protocol=5-fold cross validation2024.12 | 96.33 | |
| Ullah et al.2024.12 | 96 | |
| Hachiuma et al.2024.12 | 94.7 | |
| ConvLSTMType=Deep-Learning Based2019.11 | 94.57 | |
| SPIL2024.12 | 94.5 | |
| LHOG+LOFType=Hand-Crafted Features2019.11 | 94.31 | |
| LHOG+LOF2024.12 | 94.31 | |
| 3D ConvNetType=Deep-Learning Based2019.11 | 94.3 | |
| Garcia-Cobo et al.2024.12 | 94.3 | |
| DIFEMclassifier=AdaBoost, protocol=5-fold cross validation2024.12 | 94.3 | |
| DIFEMclassifier=Nearest Neighbor, protocol=5-fold cross validation2024.12 | 94.3 | |
| DIFEMclassifier=Decision Tree, protocol=5-fold cross validation2024.12 | 93.47 | |
| I3D(Flow only)Type=Deep-Learning Based2019.11 | 88.89 | |
| I3D(Fusion)Type=Deep-Learning Based2019.11 | 88.89 | |
| Flow Gated NetworkType=Deep-Learning Based2019.11 | 88.87 | |
| Cheng et al.2024.12 | 88.8 | |
| ViF + OViF2024.12 | 88 | |
| DGCNNevaluation_source=Reported in [24]2024.12 | 87.4 | |
| I3D(RGB only)Type=Deep-Learning Based2019.11 | 86.67 | |
| ViF2024.12 | 85 | |
| C3DType=Deep-Learning Based2019.11 | 84.44 | |
| I3Devaluation_source=Reported in [24]2024.12 | 83.4 | |
| MoWLD+BOWType=Hand-Crafted Features2019.11 | 82.56 | |
| MoWLD+BoW2024.12 | 82.56 | |
| TSNevaluation_source=Reported in [24]2024.12 | 81.5 | |
| ViFType=Hand-Crafted Features2019.11 | 81.3 |