CDFSL MiniImageNet to EuroSAT and CUB Pretraining notebooks VGG ViT Finetuning notebooks EuroSAT_RGB ViT VGG CUB ViT VGG Accuracy of models Pre-train on miniImageNet dataset Model Validation Accuracy VGG19 82.84% VisionTransformer 93.83% Fine tuned on EuroSAT_RGB dataset Episodes : 20 Model Average Test Accuracy VGG19 78.94% VisionTransformer 81.34% Fine tuned on CUB dataset Episodes : 20 Model Average Test Accuracy VGG19 77.067% VisionTransformer 81.34% Fine tuned on CUB dataset Episodes : 50 Model Average Test Accuracy VGG19 73.41% VisionTransformer 93.34% Pretrained - models RestNet152d - best_model_ModelResnet152dTimm_FixedTransforms.pth VGG19 - best_model_VGG19_fixedTransformers.pth VisionTransformer - best_model_VistionTransformerTimm_pc18_fixedTransformers.pth You can download pretrained models from this location https://drive.google.com/drive/folders/1oD5kTRVJPSjhVz2C6cJeI1EXc2tmHMWq