Robust Accuracy on Salinas (Hyperspectral Image Classification)
99.92Benign AccuracyS3ANet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| S3ANetTraining Scheme=AT2025.10 | 99.92 | 89.16 | 95.88 | |
| S3ANetAdversarial Training Setting=AT2025.10 | 99.92 | 89.16 | 95.88 | |
| S3ANetTraining Scheme=AT-RA2025.10 | 99.89 | 91.73 | 96.2 | |
| S3ANetAdversarial Training Setting=AT-RA2025.10 | 99.89 | 91.73 | 96.2 | |
| S3ANetAdversarial Training Setting=AT-HARL2025.10 | 99.71 | 95.68 | 98.83 | |
| RCCATraining Scheme=AT-RA2025.10 | 99.68 | 91.69 | 97.95 | |
| RCCAAdversarial Training Setting=AT-RA2025.10 | 99.68 | 91.69 | 97.95 | |
| RCCATraining Scheme=AT2025.10 | 99.52 | 65.01 | 68.67 | |
| RCCAAdversarial Training Setting=AT2025.10 | 99.52 | 65.01 | 68.67 | |
| SpaFCNTraining Scheme=AT-RA2025.10 | 99.5 | 77.35 | 79.65 | |
| SpaFCNAdversarial Training Setting=AT-RA2025.10 | 99.5 | 77.35 | 79.65 | |
| SACNetTraining Scheme=AT-RA2025.10 | 99.46 | 72.31 | 86.62 | |
| SACNetAdversarial Training Setting=AT-RA2025.10 | 99.46 | 72.31 | 86.62 | |
| SSFCNTraining Scheme=AT-RA2025.10 | 99.2 | 31.78 | 43.42 | |
| SSFCNAdversarial Training Setting=AT-RA2025.10 | 99.2 | 31.78 | 43.42 | |
| RCCAAdversarial Training Setting=AT-HARL2025.10 | 99.1 | 68.07 | 73.04 | |
| DilatedFCNTraining Scheme=AT-RA2025.10 | 98.51 | 72.8 | 88.3 | |
| DilatedFCNAdversarial Training Setting=AT-RA2025.10 | 98.51 | 72.8 | 88.3 | |
| SpaFCNTraining Scheme=AT2025.10 | 97.54 | 69.29 | 71.5 | |
| SpaFCNAdversarial Training Setting=AT2025.10 | 97.54 | 69.29 | 71.5 | |
| SSFCNAdversarial Training Setting=AT-HARL2025.10 | 97.41 | 26.82 | 55.03 | |
| SACNetTraining Scheme=AT2025.10 | 96.91 | 69.82 | 77.23 | |
| SACNetAdversarial Training Setting=AT2025.10 | 96.91 | 69.82 | 77.23 | |
| DilatedFCNAdversarial Training Setting=AT-HARL2025.10 | 96.52 | 51.98 | 69.47 | |
| SpaFCNAdversarial Training Setting=AT-HARL2025.10 | 96.46 | 71.97 | 74.54 | |
| DilatedFCNTraining Scheme=AT2025.10 | 96.2 | 50.72 | 57 | |
| DilatedFCNAdversarial Training Setting=AT2025.10 | 96.2 | 50.72 | 57 | |
| SACNetAdversarial Training Setting=AT-HARL2025.10 | 96.11 | 80.59 | 86.27 | |
| SSFCNTraining Scheme=AT2025.10 | 94.62 | 15.14 | 31.8 | |
| SSFCNAdversarial Training Setting=AT2025.10 | 94.62 | 15.14 | 31.8 |