Image Classification on ImageNet (Accuracy, ECE, AECE)
84.7Acc
LM4CV
Updated 1mo ago
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
2025.11 | 84.7 | - | - | 61.1 | |
2025.11 | 84.5 | - | - | 62.3 | |
2025.11 | 84.3 | - | - | - | |
2025.11 | 84.3 | - | - | 57.3 | |
2025.11 | 84.1 | - | - | 57.1 | |
2025.11 | 82.5 | - | - | 59.8 | |
2025.11 | 80.6 | - | - | 61.6 | |
2025.11 | 79.8 | - | - | 57.7 | |
2025.11 | 79.1 | - | - | 56.7 | |
2022.11 | 77.58 | 3.06 | 2.95 | - | |
2022.11 | 77.18 | 1.95 | 1.73 | - | |
2022.11 | 77.1 | 1.61 | 1.69 | - | |
2022.11 | 76.68 | 9.07 | 9.08 | - | |
2025.11 | 76.5 | - | - | 56.7 | |
2022.11 | 76.44 | 1.46 | 1.32 | - | |
2022.11 | 76.34 | 5.63 | 5.69 | - | |
2022.11 | 76.34 | 5.5 | 5.33 | - | |
2022.11 | 76.33 | 3.66 | 3.59 | - | |
2022.11 | 76.04 | 2.57 | 2.88 | - | |
2022.11 | 75.82 | 4.44 | 4.26 | - | |
2022.11 | 75.82 | 9.88 | 9.86 | - | |
2022.11 | 75.6 | 9.95 | 9.94 | - | |
2022.11 | 75.6 | 3.19 | 3.18 | - | |
2026.01 | 75.6 | 14.8 | - | - | |
2022.11 | 75.42 | 7.32 | 7.33 | - | |
2022.11 | 75.22 | 8.27 | 8.26 | - | |
2022.11 | 75.16 | 9.19 | 9.18 | - | |
2026.01 | 75 | 10.5 | - | - | |
2022.11 | 74.85 | 8.57 | 8.56 | - | |
2022.11 | 74.7 | 2.44 | 2.37 | - | |
2026.01 | 74.5 | 7.2 | - | - | |
2025.11 | 74 | - | - | 54.6 | |
2022.11 | 73.97 | 2.08 | 2.06 | - | |
2022.11 | 73.87 | 1.6 | 1.65 | - | |
2026.01 | 73.5 | 2.9 | - | - | |
2026.01 | 73.2 | 5.5 | - | - | |
2025.11 | 73.1 | - | - | 52 | |
2025.11 | 73 | - | - | 49.6 | |
2025.11 | 72.6 | - | - | - | |
2025.11 | 72.1 | - | - | 49 | |
2025.11 | 69.6 | - | - | 50.2 | |
2025.11 | 68.3 | - | - | 52.2 | |
2025.11 | 67.5 | - | - | 48.8 | |
2025.11 | 65.7 | - | - | 47.6 | |
2025.11 | 57 | - | - | 42.3 |