YOLO-based Object Detection Models: A Review and its Applications

By Ajantha Vijayakumar, Subramaniyaswamy Vairavasundaram. Multimedia tools and applications, 2024

430 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/cc8429c3419b622aa4588749b6e2401f6d79e79f

Citations in the corpus

• YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception (2025, neutral): “…object detection has long been at the fore-front of computer vision research [1], [2], aiming to localize and classify objects within images with minimal latency, which is critical for a wide range of applications, e.g ., industrial anomaly detection, autonomous driving, and video surveillance [3].”