Classification on Lanzhou Dataset 2 (test)
89.02AccuracyQuanvNeXt
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| QuanvNeXtParameters=24882025.12 | 89.02 | 95 | 0.7826 | |
| InceptionTimeParameters=17420822025.12 | 87.8 | 93.28 | 0.7597 | |
| FQNParameters=8422025.12 | 84.15 | 84.15 | 0.6833 | |
| STCNNParameters=4790422025.12 | 73.17 | 71.92 | 0.4685 | |
| xCNNParameters=15792025.12 | 71.95 | 75.97 | 0.4423 | |
| 1DCNN-LSTMParameters=4423782025.12 | 68.29 | 69.9 | 0.3892 | |
| MADNetParameters=1586962025.12 | 63.41 | 58.06 | 0.3073 | |
| 2DCNN-LSTMParameters=2170902025.12 | 60.98 | 47.17 | 0.2707 | |
| 1DCNN-GRUParameters=376022025.12 | 59.76 | 51.46 | 0.3288 | |
| 1DCNN-TransformerParameters=484102025.12 | 58.54 | 54.31 | 0.1786 | |
| Ex-1DCNNParameters=22572025.12 | 58.54 | 31.83 | 0.3055 | |
| DSNetParameters=178902025.12 | 58.54 | 80.37 | 0.3055 | |
| TanhReLU-CNNParameters=62882042025.12 | 50 | 50 | 0 |