Hierarchical Image Classification on ImageNet-R
76.83Leaf Accuracy
MaPLe
Updated 1mo ago
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
2023.06 | 76.83 | 21.06 | 64.3 | |
2023.06 | 76.61 | 20.67 | 63.06 | |
2023.06 | 76.48 | 18.92 | 67.3 | |
2023.06 | 76.31 | 29.28 | 78.52 | |
2023.06 | 75.98 | 30.97 | 77.57 | |
2023.06 | 75.85 | 19.84 | 60.86 | |
2023.06 | 75.83 | 18.49 | 64.13 | |
2023.06 | 75.7 | 32.58 | 77.99 | |
2023.06 | 75.51 | 37.96 | 81.11 | |
2023.06 | 75.01 | 23.94 | 72.73 | |
2023.06 | 74.94 | 31.18 | 75.59 | |
2023.06 | 74.86 | 28.67 | 78.17 | |
2023.06 | 74.79 | 5.91 | 49.56 | |
2023.06 | 74.6 | 25.2 | 75.72 | |
2023.06 | 74.55 | 18.85 | 62.48 | |
2023.06 | 74.26 | 27.46 | 76.48 | |
2023.06 | 74.23 | 29.69 | 75.54 | |
2023.06 | 73.99 | 14.85 | 61.4 | |
2023.06 | 70.94 | 16.32 | 56.67 | |
2023.06 | 69.84 | 11.74 | 55.31 |