Leaf Disease Classification on Maize Dataset (test)
95AccuracyCBAM-VGG16
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| CBAM-VGG162025.12 | 95 | 0.12 | 95.05 | 95 | 95.01 | 99.62 | 0.93 | |
| Alpsalaz et al.2025.12 | 94.97 | — | — | — | — | — | — | |
| Thakur et al. [27]2025.12 | 92.59 | 0.34 | 93.67 | 91.36 | 92.5 | 97.21 | 0.9 | |
| Thakur et al. [28]2025.12 | 92.59 | 0.04 | 92.59 | 92.59 | 92.59 | 96.27 | 0.9 | |
| Chen et al. [25]2025.12 | 91.36 | 0.54 | 91.36 | 91.36 | 91.36 | 97.29 | 0.89 | |
| Chen et al. [23]2025.12 | 88.89 | 0.5 | 91.03 | 87.65 | 87.65 | 96.78 | 0.85 | |
| Chen et al. [9]2025.12 | 87.65 | 0.6 | 87.65 | 87.65 | 87.65 | 96.03 | 0.84 | |
| Yang et al.2025.12 | 76.54 | 1.52 | 78.48 | 76.54 | 77.5 | 94.53 | 0.69 | |
| Karthik et al.2025.12 | 54.32 | 1.17 | 59.72 | 53.09 | 56.21 | 83.19 | 0.39 | |
| Li et al.2025.12 | 50.62 | 1.38 | 51.47 | 43.21 | 46.98 | 72.47 | 0.34 |