44 citations · 98 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 14 cited
A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships
Gracile Astlin Pereira, Muhammad Hussain
Transformer-based models have transformed the landscape of natural language processing (NLP) and are increasingly applied to computer vision tasks with remarkable success. These mo…
cs.CV2024★ 40 cited
What is YOLOv5: A deep look into the internal features of the popular object detector
Rahima Khanam, Muhammad Hussain
This study presents a comprehensive analysis of the YOLOv5 object detection model, examining its architecture, training methodologies, and performance. Key components, including th…
cs.CV2024★ 44 cited
YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision
Muhammad Hussain
This paper presents a comprehensive review of the evolution of the YOLO (You Only Look Once) object detection algorithm, focusing on YOLOv5, YOLOv8, and YOLOv10. We analyze the arc…