Abstract: Recently, few-shot learning (FSL) has shown promising results in the hyperspectral image (HSI) classification. However, in practical applications, insufficiently labeled training data make ...

Overall framework of STiL. STiL encodes image-tabular data using $\phi$, decomposes modality-shared and -specific information through DCC $\psi$ (a), and outputs ...

PlantAi is a ResNet-based CNN model trained on the PlantVillage dataset to classify plant leaf images as healthy or diseased. This repository includes PyTorch training code, tools to convert the model ...

Abstract: Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image ...