Researchers develop automated tool that overcomes existing limitations in detecting stubble burning

Detection methods such as thermal remote sensing, temporal remote sensing and satellite-based remote sensing are being used ...
GitHub

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection.

"Exploring the frontiers of Dynamic Intelligence in YOLO." This work represents our passionate exploration into the evolution of Real-Time Object Detection (RTOD). To the best of our knowledge, ...
IEEE

Real Time Object Detection using Yolo and Open CV

Abstract: Real time object detection is a challenged task in the field of autonomous applications which is part of computer vision and plays vital role in several areas. The research in this area as a ...
GitHub

AGasthya283/Multi-Object-Tracking-Cpp

A complete end-to-end Multi-Object Tracking application using C++ with YOLO object detection and SORT-based tracking algorithm. mot_project/ ├── CMakeLists.txt # CMake build configuration ├── ...
Scientific Research Publishing

Jeong, D.J. (2020) Road Damage Detection Using YOLO with Smartphone Images.

ABSTRACT: A nation’s development depends in part on the quality of its road network. To this end, resources are being deployed to monitor the surface condition of our roads. Applying deep learning to ...
IEEE

A Decade of You Only Look Once (YOLO) for Object Detection: A Review

Abstract: This review marks the tenth anniversary of You Only Look Once (YOLO), one of the most influential frameworks in real-time object detection. Over the past decade, YOLO has evolved from a ...