Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges

JE Gallagher, EJ Oughton - IEEE Access, 2025 - ieeexplore.ieee.org
Multispectral imaging and deep learning have emerged as powerful tools supporting diverse
use cases from autonomous vehicles to agriculture, infrastructure monitoring and …

Yolov10 to its genesis: A decadal and comprehensive review of the you only look once series

R Sapkota, R Qureshi, M Flores-Calero… - Available at SSRN …, 2024 - papers.ssrn.com
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …

YOLO-Claw: A fast and accurate method for chicken claw detection

D Wu, Y Ying, M Zhou, J Pan, D Cui - Engineering Applications of Artificial …, 2024 - Elsevier
Reliable chicken claw detection is the technical prerequisite for further intelligent sensing of
the health status and physiological information of their feet in precision livestock farming …

State-of-the-Art deep learning methods for objects detection in remote sensing satellite images

AA Adegun, JV Fonou Dombeu, S Viriri, J Odindi - Sensors, 2023 - mdpi.com
Introduction: Object detection in remotely sensed satellite images is critical to socio-
economic, bio-physical, and environmental monitoring, necessary for the prevention of …

Improved yolov5-based uav pavement crack detection

J Xing, Y Liu, GZ Zhang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In terms of highway crack detection, the combination of unmanned aerial vehicles (UAVs)
and deep learning networks has become a powerful detection means. However, in the …

A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras

D Berardini, L Migliorelli, A Galdelli, E Frontoni… - Multimedia Tools and …, 2024 - Springer
The early detection of handguns and knives from surveillance videos is crucial to enhance
people's safety. Despite the increasing development of Deep Learning (DL) methods for …

YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series

R Sapkota, R Qureshi, MF Calero, C Badjugar… - arXiv preprint arXiv …, 2024 - arxiv.org
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …

[HTML][HTML] Edge artificial intelligence and super-resolution for enhanced weapon detection in video surveillance

D Berardini, L Migliorelli, A Galdelli… - … Applications of Artificial …, 2025 - Elsevier
The prevalence of crimes involving handguns and knives underscores the importance of
early weapon detection. This, along with the spread of video surveillance systems, boosted …

Date fruit detection and classification based on its variety using deep learning technology

A Almutairi, J Alharbi, S Alharbi, HF Alhasson… - IEEE …, 2024 - ieeexplore.ieee.org
There are many types of date fruits, each with similar physical properties and slight
differences in color, shape, and fleshiness. Due to the many attributes to consider …

High-through cell micronucleus image detection method combining multi-attention mechanism and YOLOv5

W Wei, J Li, X Wu, H Zhang - Biomedical Signal Processing and Control, 2024 - Elsevier
Cell micronucleus detection is an significant method used to evaluate damage to human
cells by drugs, radiation, toxic substances, etc. Aiming at the problems of small target size …