Classification on CropDiseases
99.97AccuracyCrossViT-15
Evaluation Results
| Method | Links | |
|---|---|---|
| CrossViT-15Pre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.03 | 99.97 | |
| CrossViT-18Pre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.03 | 99.97 | |
| DeiT-SPre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.03 | 99.96 | |
| DeiT-BPre-training Dataset=ImageNet-1K, Evaluation Protocol=Fine-tuning2021.03 | 99.96 | |
| BYOL + PsCoBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 92.92 | |
| SupervisedBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 90.96 | |
| MoCo v2 + PsCoBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 89.85 | |
| MoCo v2Backbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 82.89 | |
| BYOLBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 80.82 |