Abstract: Remote sensing image scene classification is a fundamental problem, which aims to label an image with a specific semantic category automatically. Recently, deep learning methods have ...
Abstract: Multi-view visual classification methods have been widely applied to use discriminative information of different views. This strategy has been proven very effective by many researchers. On ...
OLX reduced PyTorch Docker image size by 78% with a one-line config change. Unnecessary GPU libraries were excluded, shrinking images from 8.3GB to 1.75GB. This optimization resolves cold start ...
ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
This project focuses on evaluating Convolutional Neural Networks (CNN) and Vision Transformers (ViT) for image classification tasks, specifically distinguishing between Asian elephants and African ...
Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
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