Reconstruction on Transfer Learning Few-shot
0.0614MAEIPTR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| IPTRNumber of Samples=502025.12 | 0.0614 | 3.8818 | |
| IPTRNumber of Samples=202025.12 | 0.1049 | 4.4456 | |
| IPTRNumber of Samples=102025.12 | 0.1291 | 5.7714 | |
| Vor-FNONumber of Samples=502025.12 | 0.1471 | 9.9537 | |
| IPTRNumber of Samples=52025.12 | 0.1918 | 7.0079 | |
| Vor-FNONumber of Samples=202025.12 | 0.2012 | 13.0728 | |
| IPTRNumber of Samples=22025.12 | 0.2349 | 7.1077 | |
| Vor-FNONumber of Samples=102025.12 | 0.2507 | 15.5292 | |
| Vor-FNONumber of Samples=52025.12 | 0.3019 | 16.3998 | |
| Mask-UNetNumber of Samples=502025.12 | 0.3058 | 7.7115 | |
| Vor-FNONumber of Samples=22025.12 | 0.3892 | 18.4292 | |
| Mask-FNONumber of Samples=502025.12 | 0.4021 | 8.869 | |
| Mask-UNetNumber of Samples=202025.12 | 0.4999 | 10.4581 | |
| Mask-FNONumber of Samples=202025.12 | 0.7302 | 9.7054 | |
| Mask-UNetNumber of Samples=102025.12 | 1.2247 | 14.2104 | |
| Mask-FNONumber of Samples=102025.12 | 1.2713 | 12.4416 | |
| Mask-UNetNumber of Samples=52025.12 | 1.3315 | 13.1989 | |
| Mask-FNONumber of Samples=52025.12 | 2.455 | 46.4677 | |
| Vor-UNetNumber of Samples=502025.12 | 3.3265 | 8.1748 | |
| Mask-UNetNumber of Samples=22025.12 | 3.572 | 14.6502 | |
| Vor-UNetNumber of Samples=102025.12 | 3.6637 | 10.1455 | |
| Vor-UNetNumber of Samples=52025.12 | 3.8922 | 14.0768 | |
| Vor-UNetNumber of Samples=202025.12 | 3.9723 | 8.6465 | |
| Vor-UNetNumber of Samples=22025.12 | 4.7273 | 13.6441 | |
| Mask-FNONumber of Samples=22025.12 | 6.503 | 101.0619 |