Object Unlearning on Imagenette (test)
89.1Garbage Truck AccuracySD v1.5
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SD v1.52026.01 | 89.1 | 67.6 | 98.5 | 98.2 | 78.3 | 93.5 | 98.2 | 86.9 | 98.4 | 94.7 | 90.34 | |
| MACE2026.01 | 82.8 | 14.9 | 84.7 | 93.1 | 73.5 | 89.7 | 94.6 | 69.3 | 96.4 | 83.2 | 78.22 | |
| FMN2026.01 | 78.9 | 14.8 | 79.3 | 85.6 | 43.2 | 90.4 | 92.7 | 77.5 | 87.4 | 69.1 | 71.89 | |
| SPM2026.01 | 53.6 | 3.9 | 43.4 | 67.2 | 32.7 | 74.1 | 93.8 | 66.5 | 17.3 | 20.4 | 47.29 | |
| AC2026.01 | 49.2 | 7.4 | 11.4 | 92.1 | 77.2 | 46.6 | 57.2 | 82.9 | 94 | 63.5 | 58.15 | |
| ESD2026.01 | 31.6 | 4.7 | 64.5 | 79.3 | 12.2 | 6.3 | 13.1 | 61.4 | 57.8 | 54.9 | 38.58 | |
| UCE2026.01 | 28.9 | 2.3 | 5.2 | 0.8 | 4.7 | 8.2 | 7.8 | 19.5 | 3.6 | 5.2 | 8.62 | |
| SalUn2026.01 | 10.6 | 34.3 | 92.2 | 1.5 | 7.8 | 10.1 | 5.9 | 1.2 | 9.4 | 58.7 | 23.17 | |
| CP2026.01 | 6.7 | 4.6 | 0.3 | 2.5 | 0.9 | 3.5 | 33.2 | 8.1 | 2.2 | 11.4 | 7.34 | |
| FIA2026.01 | 0.5 | 0 | 0 | 1.7 | 1.8 | 1.9 | 4.8 | 0 | 2.9 | 5 | 1.9 |