Intoxication Detection on Intoxication Detection Dataset
95.82AccuracyRecurrent Fusion Model
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Recurrent Fusion ModelArchitecture=Hybrid 3D ResNet + Graph Attention Network (GAT) + LSTM, Fusion Mechanism=Dynamic Weighted Fusion (α = 0.4704)2025.12 | 95.82 | 97 | 97 | |
| Customized 3D-CNNArchitecture=3D Convolutional Neural Network2025.12 | 86.7 | 88 | 88 | |
| VGGFace + LSTMArchitecture=VGGFace+LSTM2025.12 | 56 | 79 | 50 |