This repository provides an Android application for classifying traffic signs using a pre-trained Convolutional Neural Network (CNN) model. The app is designed for real-time traffic sign recognition ...

Abstract: Multilabel classification in remote sensing (RS) images aims to correctly predict multiple object labels in an RS image with the primary challenge of mining correlations among multiple ...

Abstract: Capsule networks (CapsNet) are a pioneering architecture that can encode image features into vectors rather than scalars, addressing the limitations of traditional Convolutional Neural ...

I deployed a super-resolution model on the Android side using TensorFlow, with a runtime of 90ms (540p ->1080p) when calling QNN. However, the preprocessing and post-processing of the images were slow ...

Here we are with our weekly roundup, briefing this week's top cybersecurity threats, incidents, and challenges, just in case you missed any of them. Last week has been very short with big news from ...