Image Classification on ImageNet V2 (Std, Disc, Recov Metrics)
82.3Std Accuracy
Standard Winograd
Updated 4d ago
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
2025.12 | 82.3 | - | - | |
2025.12 | 82.3 | - | - | |
2025.12 | 82.3 | - | 0 | |
2025.12 | 80.6 | - | 42 | |
2025.12 | 77.8 | - | 67 | |
2025.12 | 77.5 | - | 73 | |
2025.12 | 77 | - | - | |
2025.12 | 77 | - | - | |
2025.12 | 77 | - | 0 | |
2025.12 | 75.3 | - | 71 | |
2025.12 | 38.3 | - | - | |
2025.12 | 38.3 | - | - | |
2025.12 | 10.8 | - | - | |
2025.12 | 10.8 | - | - | |
2025.12 | 4.7 | - | - | |
2025.12 | 4.7 | - | - | |
2025.12 | 4.7 | - | - | |
2025.12 | 4.7 | - | - | |
2025.12 | - | 77.8 | 67 | |
2025.12 | - | 80.6 | 42 | |
2025.12 | - | 75.3 | 71 | |
2025.12 | - | 77.5 | 73 | |
2025.12 | - | 77 | 0 | |
2025.12 | - | 82.3 | 0 |