In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, researchers at Drexel University have drawn on the wisdom of community members in ...

Abstract: Fuzzy integral fusion has been shown as an effective tool for enhancing classification accuracy while also achieving explainability. With the deep learning boom in the past decade, many ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

We are excited to inform you that a new version of Introduction to Computer Vision (CSCA 5222) reflecting the latest advancements in the field will be released in Fall session 2, 2025. We are also ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we want these technologies to serve society responsibly, tomorrow’s citizens need ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

This study introduces Popnet, a deep learning model for forecasting 1 km-gridded populations, integrating U-Net, ConvLSTM, a Spatial Autocorrelation module and deep ensemble methods. Using spatial ...

Computer vision has emerged as one of the most transformative areas of artificial intelligence, with deep learning models driving unprecedented advancements in both theoretical understanding and ...

The rapid evolution of deep learning and computer vision has revolutionized industries ranging from healthcare to autonomous systems. Following the success of the inaugural DLCV 2024(Past Name: CVDL, ...

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 ...