MSTAR
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Federated Learning Image Classification | MSTAR | Accuracy95.13 | 99 | |
| Backdoor Attack Robustness | MSTAR (test) | ASR99.37 | 90 | |
| SAR Image Classification | MSTAR (test) | ACC93.53 | 54 | |
| Adversarial Attack | MSTAR DARPA (test) | ASR85.61 | 42 | |
| Classification | MSTAR 8-shot | Precision72.5 | 25 | |
| Classification | MSTAR 4-shot | Precision60.65 | 25 | |
| Classification | MSTAR 2-shot | Precision52.98 | 25 | |
| SAR Classification | MSTAR SOCs (Standard operating conditions) 10-way | Accuracy95.9 | 25 | |
| SAR Classification | MSTAR EOCs (Target version variations) 4-way | Accuracy82.8 | 12 | |
| SAR Classification | MSTAR EOCs (Target configuration variations) 4-way | Accuracy78.3 | 12 | |
| SAR Classification | MSTAR EOCs (Depression angle variations) 4-way | Accuracy98.9 | 12 | |
| Classification | MSTAR | Macro-F191.53 | 9 | |
| Adversarial Attack | MSTAR (test) | PSNR (dB)31.48 | 7 | |
| Target Classification | MSTAR 30% label | Top-1 Accuracy99.61 | 6 | |
| Target Classification | MSTAR 40-shot | Top-1 Accuracy97.24 | 5 | |
| Image Classification | MSTAR 100% | Accuracy0.961 | 5 | |
| Image Classification | MSTAR (90%) | Accuracy95.6 | 5 | |
| Image Classification | MSTAR (50%) | Accuracy92.3 | 5 | |
| Image Classification | MSTAR (5%) | Accuracy69.5 | 5 |
Showing 19 of 19 rows