Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

To tackle these challenges, we propose a novel object detection framework built upon the YOLO architecture, called αS-YOLO, which simultaneously tackles the problem of precise localization of small ...

Moreover, in a generalization test conducted on the remote sensing small target dataset VisDrone2019, the VRU-YOLO model achieved an mAP50 of 31%. This study demonstrates that the improved model ...

We are preparing to deliver a YOLO algorithm for the Air Force Research Labs in the current quarter, including the benchmarks for a real-time object detection application. As a reminder, YOLO, which ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

The NVIDIA Deep Learning Institute have a course that you must take to install and demo de Jetson Nano. This SDK brings all the necesary packages and libraries. Also ...

This repository is the code release of the paper "DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection". Pattern Recognition. ICPR 2024. We design a dual-enhancement-based ...

YOLO is a popular one-stage object detection model known for its speed and accuracy. It processes images in real-time, making it suitable for applications requiring quick detection. EfficientDet is ...

Titled “Explainable YOLO-Based Dyslexia Detection in Synthetic ... Fink’s team employs YOLOv11, a cutting-edge object detection framework, to detect multiple categories (Normal, Reversal ...

Advancements in sensor technologies are enhancing UAP detection and addressing challenges like environmental interference and ...