Transferability Estimation on Aircraft
0.615Weighted Kendall's TauSFDA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SFDAWall-Clock Time (s)=91.9, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | 0.615 | — | |
| SFDAModel type=ViT models2022.07 | 0.533 | 31.3 | |
| LogMEWall-Clock Time (s)=11.5, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | 0.506 | — | |
| NLEEPWall-Clock Time (s)=453.8, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | 0.495 | — | |
| SFDA2022.07 | 0.35 | — | |
| LogMEModel type=ViT models2022.07 | 0.299 | 5.7 | |
| SFDAWall-Clock Time (s)=300.72022.07 | 0.254 | — | |
| LogMEWall-Clock Time (s)=33.52022.07 | 0.223 | — | |
| LogME2022.07 | 0.168 | — | |
| NLEEP2022.07 | -0.026 | — | |
| NLEEPWall-Clock Time (s)=581.72022.07 | -0.029 | — | |
| LEEPWall-Clock Time (s)=5.1, Backbone=11 Supervised CNN models, Pre-trained=ImageNet2022.07 | -0.234 | — | |
| NLEEPModel type=ViT models2022.07 | -0.282 | 553.7 |