Crop Pest Recognition on QianFSD
86.72AccuracyPestVL-Net
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PestVL-NetInput Resolution=224x224, Training Mode=From scratch2026.04 | 86.72 | 87.53 | 86.86 | 87.14 | |
| TransXNetInput Resolution=224x224, Training Mode=From scratch2026.04 | 79.44 | 80.36 | 79.56 | 81.86 | |
| UniFormerInput Resolution=224x224, Training Mode=From scratch2026.04 | 76.5 | 78.1 | 76.93 | 76.56 | |
| DFLInput Resolution=224x224, Training Mode=From scratch2026.04 | 76.3 | 78.74 | 77.14 | 78.68 | |
| SeaFormerInput Resolution=224x224, Training Mode=From scratch2026.04 | 72.9 | 74.13 | 73.11 | 73.92 | |
| ResNet-18Input Resolution=224x224, Training Mode=From scratch2026.04 | 69.03 | 70.73 | 69.44 | 68.5 | |
| ResNet-50Input Resolution=224x224, Training Mode=From scratch2026.04 | 68.09 | 69.74 | 68.68 | 67.12 | |
| Swin-TInput Resolution=224x224, Training Mode=From scratch2026.04 | 68.02 | 70.71 | 69.05 | 68.64 | |
| ResNeXt-50Input Resolution=224x224, Training Mode=From scratch2026.04 | 67.22 | 68.93 | 67.86 | 65.71 | |
| VMamba-BInput Resolution=224x224, Training Mode=From scratch2026.04 | 65.62 | 67.8 | 66.37 | 62.82 | |
| AlexNetInput Resolution=224x224, Training Mode=From scratch2026.04 | 54.87 | 55.95 | 54.87 | 46.64 | |
| GoogLeNetInput Resolution=224x224, Training Mode=From scratch2026.04 | 48.76 | 50.21 | 49.15 | 46.91 | |
| VGG16Input Resolution=224x224, Training Mode=From scratch2026.04 | 43.46 | 43.01 | 42.93 | 28.9 |