Infrared Small Target Detection on DAUB
95.59mAP50HyperTea
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HyperTeaScheme=multi-frame, Architecture=CNN+RNN+HGNN2025.08 | 95.59 | 98.14 | 98.31 | 98.23 | |
| HyperTea2025.08 | 95.59 | 98.14 | 98.31 | 98.23 | |
| TridosScheme=multi-frame, Architecture=CNN+Trans2025.08 | 91.52 | 96.83 | 95.52 | 96.17 | |
| DTUMScheme=multi-frame, Architecture=CNN2025.08 | 90.46 | 97.86 | 93.58 | 95.67 | |
| SSTNetScheme=multi-frame, Architecture=CNN+RNN2025.08 | 89.07 | 97.12 | 92.72 | 94.87 | |
| Hyper-YOLO2025.08 | 88.44 | 96.45 | 92.74 | 94.56 | |
| TSINetScheme=multi-frame, Architecture=CNN+Trans2025.08 | 88.32 | 98.46 | 90.55 | 94.34 | |
| STMEScheme=multi-frame, Architecture=CNN2025.08 | 87.18 | 95.17 | 92.85 | 93.99 | |
| TMPScheme=multi-frame, Architecture=CNN+Trans2025.08 | 85.37 | 94.23 | 91.74 | 92.96 | |
| MSHNetScheme=single-frame, Architecture=CNN2025.08 | 85.25 | 99.3 | 86.67 | 92.56 | |
| SeRankDetScheme=single-frame, Architecture=CNN+Trans2025.08 | 84.67 | 94.6 | 90.47 | 92.49 | |
| DNANetScheme=single-frame, Architecture=CNN2025.08 | 84.44 | 97.37 | 87.34 | 92.08 | |
| ACMScheme=single-frame, Architecture=CNN2025.08 | 83.41 | 93.11 | 90.65 | 91.86 | |
| ISNetScheme=single-frame, Architecture=CNN2025.08 | 83.02 | 93.52 | 89.99 | 91.72 | |
| AGPCNetScheme=single-frame, Architecture=CNN2025.08 | 82.43 | 90.17 | 92.62 | 91.38 | |
| RDIANetScheme=single-frame, Architecture=CNN2025.08 | 80.72 | 88.29 | 92.95 | 90.56 | |
| SCTransNetScheme=single-frame, Architecture=CNN+Trans2025.08 | 79.97 | 94.34 | 85.99 | 89.97 | |
| ALCScheme=single-frame, Architecture=CNN2025.08 | 79.03 | 90.41 | 88.43 | 89.4 | |
| RPCANetScheme=single-frame, Architecture=CNN2025.08 | 78.9 | 82.85 | 96.93 | 89.34 | |
| MTUNetScheme=single-frame, Architecture=CNN+Trans2025.08 | 77.21 | 93.4 | 83.42 | 88.13 |