Patch Matching on VIS-LWIR
0.51FPR95Hyp-Net
Evaluation results
| Method | Links | |
|---|---|---|
| Hyp-NetLearning paradigm=Descriptor learning2026.01 | 0.51 | |
| KGL-NetLearning paradigm=Similarity learning2026.01 | 0.51 | |
| FIL-NetLearning paradigm=Similarity learning2026.01 | 0.69 | |
| EFR-NetLearning paradigm=Similarity learning2026.01 | 0.92 | |
| MFD-NetLearning paradigm=Similarity learning2026.01 | 0.97 | |
| AFD-NetLearning paradigm=Similarity learning2026.01 | 1.43 | |
| MR-3ALearning paradigm=Similarity learning2026.01 | 1.56 | |
| SCFDMLearning paradigm=Similarity learning2026.01 | 1.89 | |
| 2-ChannelLearning paradigm=Descriptor learning2026.01 | 8.34 | |
| MatchNetLearning paradigm=Descriptor learning2026.01 | 9.83 | |
| Pseudo-SiameseLearning paradigm=Descriptor learning2026.01 | 10.34 | |
| SiameseLearning paradigm=Descriptor learning2026.01 | 13.89 |