Yolov11: An overview of the key architectural enhancements
This study presents an architectural analysis of YOLOv11, the latest iteration in the YOLO
(You Only Look Once) series of object detection models. We examine the models …
(You Only Look Once) series of object detection models. We examine the models …
[PDF][PDF] YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems
This is a comprehensive review of the YOLO series of systems. Different from previous
literature surveys, this review article reexamines the characteristics of the YOLO series from …
literature surveys, this review article reexamines the characteristics of the YOLO series from …
[HTML][HTML] Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
Instance segmentation, an important image processing operation for automation in
agriculture, is used to precisely delineate individual objects of interest within images, which …
agriculture, is used to precisely delineate individual objects of interest within images, which …
Interpretability research of deep learning: A literature survey
Deep learning (DL) has been widely used in various fields. However, its black-box nature
limits people's understanding and trust in its decision-making process. Therefore, it becomes …
limits people's understanding and trust in its decision-making process. Therefore, it becomes …
In-depth review of yolov1 to yolov10 variants for enhanced photovoltaic defect detection
This review presents an investigation into the incremental advancements in the YOLO (You
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
Yolov5, yolov8 and yolov10: The go-to detectors for real-time vision
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 …
Once) object detection algorithm, focusing on YOLOv5, YOLOv8, and YOLOv10. We analyze …
[HTML][HTML] Enhanced self-checkout system for retail based on improved yolov10
With the rapid advancement of deep learning technologies, computer vision has shown
immense potential in retail automation. This paper presents a novel self-checkout system for …
immense potential in retail automation. This paper presents a novel self-checkout system for …
Bgf-yolo: Enhanced yolov8 with multiscale attentional feature fusion for brain tumor detection
Abstract You Only Look Once (YOLO)-based object detectors have shown remarkable
accuracy for automated brain tumor detection. In this paper, we develop a novel BGF-YOLO …
accuracy for automated brain tumor detection. In this paper, we develop a novel BGF-YOLO …
Rt-detrv2: Improved baseline with bag-of-freebies for real-time detection transformer
In this report, we present RT-DETRv2, an improved Real-Time DEtection TRansformer (RT-
DETR). RT-DETRv2 builds upon the previous state-of-the-art real-time detector, RT-DETR …
DETR). RT-DETRv2 builds upon the previous state-of-the-art real-time detector, RT-DETR …
[HTML][HTML] Sod-yolo: Small-object-detection algorithm based on improved yolov8 for uav images
Y Li, Q Li, J Pan, Y Zhou, H Zhu, H Wei, C Liu - Remote Sensing, 2024 - mdpi.com
The rapid development of unmanned aerial vehicle (UAV) technology has contributed to the
increasing sophistication of UAV-based object-detection systems, which are now extensively …
increasing sophistication of UAV-based object-detection systems, which are now extensively …