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) | ACC99.09 | 66 | |
| 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 Automatic Target Recognition | MSTAR | Accuracy99.59 | 13 | |
| SAR Image Recognition | MSTAR N-Shot 20-shot (test) | Accuracy59.51 | 12 | |
| SAR Image Recognition | MSTAR 10-shot N-Shot (test) | Accuracy52.57 | 12 | |
| SAR Image Recognition | MSTAR N-Shot 5-shot (test) | Accuracy41.57 | 12 | |
| SAR Image Classification | MSTAR resized to 1024 x 1024 1.0 (test) | Accuracy99.46 | 12 | |
| 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 | |
| Visual Question Answering | MSTAR | Accuracy40.9 | 11 | |
| 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 |
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