Abstract: The generation of traditional ophthalmic ultrasound examination reports primarily relies on clinicians manually entering information during procedures. This process is not only inefficient ...

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 ...

Multi-task CNN for real-estate images: room type classification and photo quality estimation with PyTorch, failure analysis, and Streamlit demo.

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 ...