With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

Rice leaf diseases significantly impact yield and quality. Traditional diagnostic methods rely on manual inspection and empirical knowledge, making them subjective and prone to errors. This study ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Abstract: The task of real-time object detection aims to identify targets from video streams or continuous image sequences with minimal latency. However, detecting small and easily occluded ...

Benchmarks tested on Intel i7-10700K CPU and NVIDIA RTX 3070 GPU ...

Abstract: The general objective of this study is to propose the methodology to improve the real-time object detection through the YOLO-V7 algorithm. The YOLO-V7 model is optimized in ways such as data ...

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...