Crop Pest Recognition on Lidataset
88.49AccuracyPestVL-Net
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PestVL-NetInput Resolution=224x224, Training Mode=From scratch2026.04 | 88.49 | 89.36 | 88.52 | 88.56 | |
| DFLInput Resolution=224x224, Training Mode=From scratch2026.04 | 81.65 | 81.94 | 81.28 | 82.49 | |
| ResNet-18Input Resolution=224x224, Training Mode=From scratch2026.04 | 77.98 | 78.73 | 77.91 | 77.33 | |
| SeaFormerInput Resolution=224x224, Training Mode=From scratch2026.04 | 77.81 | 77.99 | 77.52 | 77.22 | |
| TransXNetInput Resolution=224x224, Training Mode=From scratch2026.04 | 76.9 | 76.31 | 76.27 | 76.59 | |
| Swin-TInput Resolution=224x224, Training Mode=From scratch2026.04 | 75.23 | 74.67 | 74.73 | 75.73 | |
| UniFormerInput Resolution=224x224, Training Mode=From scratch2026.04 | 71.56 | 70.77 | 70.72 | 71.63 | |
| ResNet-50Input Resolution=224x224, Training Mode=From scratch2026.04 | 71.48 | 71.74 | 71.15 | 69.58 | |
| ResNeXt-50Input Resolution=224x224, Training Mode=From scratch2026.04 | 71.48 | 72.11 | 71.45 | 70.51 | |
| VMamba-BInput Resolution=224x224, Training Mode=From scratch2026.04 | 63.64 | 63.33 | 63.2 | 62.1 | |
| AlexNetInput Resolution=224x224, Training Mode=From scratch2026.04 | 60.8 | 59.5 | 59.42 | 60.57 | |
| GoogLeNetInput Resolution=224x224, Training Mode=From scratch2026.04 | 54.89 | 53.87 | 54.26 | 54.44 | |
| VGG16Input Resolution=224x224, Training Mode=From scratch2026.04 | 48.37 | 45.61 | 46.08 | 44.74 |