Fine-grained Classification on Cars (Accuracy and Robustness)
78.4Accuracy
MTA
Updated 16d ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2025.12 | 78.4 | 36.6 | |
2026.05 | 78.4 | 36.6 | |
2026.05 | 77.3 | 95.4 | |
2025.12 | 77.2 | 49.1 | |
2026.05 | 77.2 | 49.1 | |
2025.12 | 76.8 | 0 | |
2025.12 | 76.8 | 51.1 | |
2026.05 | 76.8 | 0 | |
2026.05 | 76.8 | 51.1 | |
2026.05 | 76.6 | 54.4 | |
2025.12 | 76.3 | 40.5 | |
2025.12 | 67.8 | 2.2 | |
2026.05 | 67.8 | 2.2 | |
2026.05 | 67.7 | 18.5 | |
2026.05 | 67.3 | 93.2 | |
2026.05 | 67 | 34.7 | |
2026.05 | 66 | 41.8 | |
2026.05 | 65.5 | 0 | |
2026.05 | 65.4 | 37.4 | |
2026.05 | 58.1 | 42.9 | |
2026.05 | 57.4 | 80.1 | |
2026.05 | 55.7 | 0 | |
2026.05 | 55.6 | 41.5 | |
2026.05 | 55 | 2.9 | |
2026.05 | 33.9 | 33.6 | |
2026.05 | 22.4 | 22.3 | |
2026.03 | 10.62 | 1.39 | |
2026.03 | 10.6 | 1.3 | |
2026.03 | 10.32 | 2.04 | |
2026.03 | 10.2 | 0.99 | |
2026.03 | 9.6 | 2 | |
2026.03 | 9 | 2.5 | |
2026.05 | 8.5 | 0.6 | |
2026.03 | 6.21 | 3.27 | |
2026.03 | 5.77 | 3.03 | |
2026.03 | 5.57 | 2.79 | |
2026.03 | 5.55 | 2.8 |