AID
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | AID (test) | Overall Accuracy95.27 | 223 | |
| Multi-label scene classification | AID-ML (test) | mAP (macro)72.18 | 105 | |
| Scene Classification | AID TR=50% | Accuracy98.6 | 94 | |
| Scene Classification | AID TR=20% | Accuracy97.49 | 93 | |
| Scene Classification | AID | Top-1 Acc98.33 | 69 | |
| Few-Shot Classification | AID | Accuracy88.95 | 48 | |
| Image Classification | AID | Accuracy96.6 | 45 | |
| Classification | AID (test) | Top-1 Accuracy98.6 | 41 | |
| Scene Classification | AID | Precision96.4 | 22 | |
| Scene Classification | AID 5-shot | Accuracy88.25 | 13 | |
| Scene Classification | AID 1-shot | Accuracy73.38 | 13 | |
| Remote Sensing Scene Classification | AID | F1 Score83.8 | 10 | |
| Remote Sensing Scene Classification | AID | Accuracy96.17 | 10 | |
| Scene Classification | AID | OA74.7 | 7 | |
| Zero-shot Classification | AID | Top-1 Accuracy76.33 | 7 | |
| Super-Resolution | AID (test) | PSNR23.22 | 6 | |
| Dataset Distillation | AID | Training Time (h)13.36 | 5 | |
| Class-activation heatmap interpretability assessment | AID 8 sampled categories | Average Score2.625 | 5 | |
| Hierarchical Multi-label Classification | AID | AUPRC84.9 | 4 | |
| Scene Classification | AID RGB | Accuracy88.76 | 4 | |
| Scene Classification | AID (test) | Top-1 Accuracy94.6 | 2 | |
| Remote Sensing Scene Classification | AID (test) | Overall Accuracy74.7 | 1 | |
| Image Generation | AID | KID12.1 | 1 |
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