Fine-grained classification on Stanford Cars
95Accuracy
MMAL-Net
Updated 16d ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2020.03 | 95 | - | |
2020.03 | 94.5 | - | |
2026.05 | 94.33 | - | |
2020.03 | 93.9 | - | |
2020.03 | 93.8 | - | |
2020.03 | 93.8 | - | |
2020.03 | 93.7 | - | |
2026.05 | 93.32 | - | |
2020.03 | 93 | - | |
2020.03 | 92.9 | - | |
2020.03 | 92.8 | - | |
2021.01 | 92.73 | - | |
2026.05 | 92.65 | - | |
2021.01 | 92.64 | - | |
2026.05 | 92.55 | - | |
2020.03 | 92.5 | - | |
2020.03 | 92.4 | - | |
2026.05 | 91.84 | - | |
2020.03 | 91.3 | - | |
2026.05 | 90.62 | - | |
2026.05 | 90.18 | - | |
2026.05 | 89.14 | - | |
2026.05 | 86.62 | - | |
2026.05 | 85.14 | - | |
2026.03 | 85.1 | - | |
2026.03 | 83.98 | - | |
2026.03 | 83.44 | - | |
2026.03 | 82.74 | - | |
2025.04 | 78.4 | 36.6 | |
2025.04 | 78 | 0 | |
2025.04 | 77.4 | 0 | |
2025.04 | 77.2 | 49.1 | |
2025.04 | 76.8 | 0 | |
2025.04 | 76.3 | 40.5 | |
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 | 63.4 | 26.4 | |
2025.04 | 63.1 | 28.4 | |
2026.05 | 63.1 | 28.4 | |
2026.05 | 62.2 | 87.4 | |
2025.08 | 61.46 | - | |
2025.08 | 60.71 | - | |
2025.04 | 60.1 | 0 | |
2026.05 | 60.1 | 0 | |
2025.08 | 60.02 | - | |
2026.05 | 59.8 | 33.1 | |
2026.05 | 59.8 | 29.8 | |
2025.08 | 59.4 | - | |
2025.08 | 59.26 | - | |
2025.08 | 58.72 | - | |
2025.08 | 58.46 | - | |
2025.08 | 58.38 | - | |
2025.08 | 58.2 | - | |
2025.08 | 58.13 | - | |
2025.04 | 58.1 | 42.9 | |
2025.08 | 57.9 | - | |
2025.08 | 57.78 | - | |
2025.08 | 56.5 | - | |
2025.04 | 55.7 | 0 | |
2025.08 | 55.7 | - | |
2026.05 | 55 | 2.9 | |
2026.05 | 48.1 | 2.3 | |
2025.04 | 39.2 | 34.4 | |
2025.04 | 33.9 | 33.6 | |
2026.03 | 32.75 | - | |
2025.04 | 22.4 | 22.3 | |
2025.04 | 20.8 | 18.9 | |
2025.04 | 10.2 | 9.1 | |
2025.04 | 8.5 | 0.6 | |
2025.04 | 1.5 | 0.1 |