Abstract: In hyperspectral image (HSI) classification, Transformer and CNN are widely used because they complement each other in extracting features. Nevertheless, existing Transformer-based methods ...
Ho realizzato un classificatore di immagini utilizzando PyTorch e una Convolutional Neural Network (CNN) addestrata sul dataset CIFAR-10, uno standard di riferimento per la computer vision. Il ...
Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
Abstract: Fine-grained flower image classification (FGFIC) is challenging due to high similarities among species and variations within species, especially with limited training data. Existing genetic ...
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