Fine-grained classification on Caltech101 (Adversarial Evaluation)
94.3Clean Accuracy
MTA
Updated 1mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2025.12 | 94.3 | 72.1 | |
2025.12 | 94 | 0 | |
2025.12 | 93.7 | 82 | |
2026.06 | 93.6 | 0 | |
2025.12 | 93.5 | 82.3 | |
2026.06 | 93.3 | 0 | |
2026.06 | 93 | 81.5 | |
2026.06 | 92.6 | 78.5 | |
2026.06 | 92.4 | 9.9 | |
2026.06 | 92.4 | 6.5 | |
2026.06 | 92.3 | 57.8 | |
2025.12 | 92 | 76.3 | |
2025.12 | 91.9 | 74.7 | |
2026.06 | 91.6 | 38.3 | |
2025.12 | 91.4 | 0.2 | |
2025.12 | 90.9 | 81.8 | |
2025.12 | 90.6 | 76.4 | |
2025.12 | 88.2 | 74.9 | |
2025.04 | 87.9 | 7 | |
2025.04 | 87.7 | 3.7 | |
2025.12 | 87.6 | 8.4 | |
2025.04 | 87.3 | 65.9 | |
2025.04 | 86.7 | 79.8 | |
2025.12 | 86.5 | 22.7 | |
2025.04 | 85.9 | 2.6 | |
2025.04 | 83.5 | 74.8 | |
2026.06 | 78.9 | 45.9 | |
2026.06 | 78.9 | 51.7 | |
2026.06 | 73.9 | 55.9 | |
2026.06 | 73.2 | 56 | |
2026.06 | 72.8 | 56 |