Image Classification on ImageNet In-Distribution (test)
86.35ID Accuracy
MixOE
Updated 3mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2024.11 | 86.35 | - | |
2024.11 | 85.95 | - | |
2024.11 | 85.81 | - | |
2024.11 | 85.81 | - | |
2024.11 | 85.81 | - | |
2024.11 | 85.81 | - | |
2024.11 | 85.52 | - | |
2024.11 | 85.27 | - | |
2024.11 | 84.94 | - | |
2026.02 | 59.69 | - | |
2026.02 | 58.92 | 99.99 | |
2026.02 | 58.8 | 33.49 | |
2026.02 | 58.7 | 2.86 | |
2026.02 | 58.69 | 99.62 | |
2026.02 | 58.67 | 97 | |
2026.02 | 58.63 | 88.97 | |
2026.02 | 58.62 | 92.35 | |
2026.02 | 58.6 | 98.25 | |
2026.02 | 58.6 | 98.81 | |
2026.02 | 58.48 | 50.28 | |
2026.02 | 58.45 | 89.48 | |
2026.02 | 58.42 | 98.37 | |
2026.02 | 54.64 | 2.69 |