Comparison of the performance of fusion models and non-spatiotemporal methods in anomaly detection
| Methods | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|
| MLP | 64.60% | 64.65% | 64.70% | 64.08% |
| xLSTM | 77.64% | 78.88% | 77.56% | 77.80% |
| mixCNN | 74.53% | 74.07% | 74.44% | 73.73% |
| ResCISTA-Net | 65.84% | 65.43% | 65.81% | 65.50% |
| TSGCN | 96.27% | 96.30% | 96.28% | 96.28% |
| Methods | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|
| MLP | 64.60% | 64.65% | 64.70% | 64.08% |
| xLSTM | 77.64% | 78.88% | 77.56% | 77.80% |
| mixCNN | 74.53% | 74.07% | 74.44% | 73.73% |
| ResCISTA-Net | 65.84% | 65.43% | 65.81% | 65.50% |
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