[HTML][HTML] A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas

J Terven, DM Córdova-Esparza… - Machine Learning and …, 2023 - mdpi.com
YOLO has become a central real-time object detection system for robotics, driverless cars,
and video monitoring applications. We present a comprehensive analysis of YOLO's …

YOLO-v1 to YOLO-v8, the rise of YOLO and its complementary nature toward digital manufacturing and industrial defect detection

M Hussain - Machines, 2023 - mdpi.com
Since its inception in 2015, the YOLO (You Only Look Once) variant of object detectors has
rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are …

YOLOv6: A single-stage object detection framework for industrial applications

C Li, L Li, H Jiang, K Weng, Y Geng, L Li, Z Ke… - arXiv preprint arXiv …, 2022 - arxiv.org
For years, the YOLO series has been the de facto industry-level standard for efficient object
detection. The YOLO community has prospered overwhelmingly to enrich its use in a …

Wise-IoU: bounding box regression loss with dynamic focusing mechanism

Z Tong, Y Chen, Z Xu, R Yu - arXiv preprint arXiv:2301.10051, 2023 - arxiv.org
The loss function for bounding box regression (BBR) is essential to object detection. Its good
definition will bring significant performance improvement to the model. Most existing works …

Autoregressive visual tracking

X Wei, Y Bai, Y Zheng, D Shi… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
We present ARTrack, an autoregressive framework for visual object tracking. ARTrack
tackles tracking as a coordinate sequence interpretation task that estimates object …

UAV-YOLOv8: A small-object-detection model based on improved YOLOv8 for UAV aerial photography scenarios

G Wang, Y Chen, P An, H Hong, J Hu, T Huang - Sensors, 2023 - mdpi.com
Unmanned aerial vehicle (UAV) object detection plays a crucial role in civil, commercial, and
military domains. However, the high proportion of small objects in UAV images and the …

Efficient detection model of steel strip surface defects based on YOLO-V7

Y Wang, H Wang, Z Xin - Ieee Access, 2022 - ieeexplore.ieee.org
During the production process of steel, there are often some defects on the surface of the
product. Therefore, detecting defects is the key to produce high-quality products. At the same …

Multi-scale ship detection algorithm based on YOLOv7 for complex scene SAR images

Z Chen, C Liu, VF Filaretov, DA Yukhimets - Remote Sensing, 2023 - mdpi.com
Recently, deep learning techniques have been extensively used to detect ships in synthetic
aperture radar (SAR) images. The majority of modern algorithms can achieve successful …

Insulator-defect detection algorithm based on improved YOLOv7

J Zheng, H Wu, H Zhang, Z Wang, W Xu - Sensors, 2022 - mdpi.com
Existing detection methods face a huge challenge in identifying insulators with minor defects
when targeting transmission line images with complex backgrounds. To ensure the safe …

Lightweight detection networks for tea bud on complex agricultural environment via improved YOLO v4

J Li, J Li, X Zhao, X Su, W Wu - Computers and Electronics in Agriculture, 2023 - Elsevier
Rapid and accurate detection of tender tea buds in the natural tea garden environment is the
basis for intelligent tea picking. However, complex models result in high hardware …