The goal of this research was to implement a multi-sensor–based fuzzy fusion algorithm to improve the robustness of any CNN-based object detection system. In this article, Section 2 presents the ...

Multiple object detection has been performed using the You Only Look Once (YOLOv3) algorithm. This approach encompasses a single deep convolution neural network dividing the input into a cell grid and ...

sparse object detection, precise wake inclination estimation, and Kelvin wave spectral analysis. The algorithm is based on the robust principal component analysis (RPCA) implemented by convex ...

The first step is to choose the right model for your object ... detection. Can you get away with non DL? The domain is fairly stable? Computer Vision is an older field than DL. Some algorithms ...

Learn tips and techniques to detect and recognize objects with limited computational resources. Choose the right model, reduce the input size, use quantization and pruning, and more.

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a ...

Department of Pharmacology and Molecular Sciences, Johns Hopkins University, Baltimore, United States ...

With the outbreak of the COVID-19 pandemic, attention began to focus on how AI could improve public health, specifically pathogen detection ... by combining multiple algorithms simultaneously.

Master artificial intelligence in 2025 with this comprehensive guide. Explore AI fundamentals, machine learning, deep ...