Yolo-based object detection models: A review and its applications

A Vijayakumar, S Vairavasundaram - Multimedia Tools and Applications, 2024 - Springer
In computer vision, object detection is the classical and most challenging problem to get
accurate results in detecting objects. With the significant advancement of deep learning …

Statistical analysis of design aspects of various YOLO-based deep learning models for object detection

U Sirisha, SP Praveen, PN Srinivasu… - International Journal of …, 2023 - Springer
Object detection is a critical and complex problem in computer vision, and deep neural
networks have significantly enhanced their performance in the last decade. There are two …

Object detection using YOLO: Challenges, architectural successors, datasets and applications

T Diwan, G Anirudh, JV Tembhurne - multimedia Tools and Applications, 2023 - Springer
Object detection is one of the predominant and challenging problems in computer vision.
Over the decade, with the expeditious evolution of deep learning, researchers have …

A review of YOLO object detection based on deep learning

S Yanhua, Z Duo, C Hongyu, Z Xiaoqiang, R Yunbo - 电子与信息学报, 2022 - jeit.ac.cn
Object detection is one of the basic tasks and research hotspots in the field of computer
vision. The YOLO (You Only Look Once) frames object detection is a regression problem to …

A review of YOLO object detection based on deep learning

Y SHAO, D ZHANG, H CHU, X ZHANG, Y RAO - 电子与信息学报, 2022 - jeit.ac.cn
Object detection is one of the basic tasks and research hotspots in the field of computer
vision. The YOLO (You Only Look Once) frames object detection is a regression problem to …

Object detection through modified YOLO neural network

T Ahmad, Y Ma, M Yahya, B Ahmad… - Scientific …, 2020 - Wiley Online Library
In the field of object detection, recently, tremendous success is achieved, but still it is a very
challenging task to detect and identify objects accurately with fast speed. Human beings can …

[PDF][PDF] Object Detection Using Stacked YOLOv3.

SS Padmanabula, RC Puvvada, V Sistla… - … des Systèmes d Inf., 2020 - researchgate.net
Accepted: 3 August 2020 Object detection is a stimulating task in the applications of
computer vision. It is gaining a lot of attention in many real-time applications such as …

Performance Comparison of Various YOLO Architectures on Object Detection of UAV Images

TS Gunawan, IMM Ismail, M Kartiwi… - 2022 IEEE 8th …, 2022 - ieeexplore.ieee.org
Today, the rapid development of deep learning offers an extraordinary opportunity to
enhance the performance and efficiency of various industries, including business, the …

You only look once-object detection models: a review

A Nazir, MA Wani - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
Object detection is the task of detecting instances of particular classes in an image. The You
Only Look Once (YOLO) object detection algorithms have become popular in recent years …

[PDF][PDF] A comprehensive survey on object detection YOLO

X Wang, H Li, X Yue, L Meng - Proceedings http://ceur-ws. org ISSN, 2023 - ceur-ws.org
As a single-stage object detection framework, the YOLO (You Only Look Once) technique
has emerged as a prominent technique for various object detection tasks owing to its …