[HTML][HTML] A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas
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 …
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 …
rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are …
Yolov9: Learning what you want to learn using programmable gradient information
Today's deep learning methods focus on how to design the objective functions to make the
prediction as close as possible to the target. Meanwhile, an appropriate neural network …
prediction as close as possible to the target. Meanwhile, an appropriate neural network …
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Real-time object detection is one of the most important research topics in computer vision.
As new approaches regarding architecture optimization and training optimization are …
As new approaches regarding architecture optimization and training optimization are …
Designing network design strategies through gradient path analysis
Designing a high-efficiency and high-quality expressive network architecture has always
been the most important research topic in the field of deep learning. Most of today's network …
been the most important research topic in the field of deep learning. Most of today's network …
YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems
Weeds are among the major threats to cotton production. Overreliance on herbicides for
weed control has accelerated the evolution of herbicide-resistance in weeds and caused …
weed control has accelerated the evolution of herbicide-resistance in weeds and caused …
An attention mechanism-improved YOLOv7 object detection algorithm for hemp duck count estimation
Stocking density presents a key factor affecting livestock and poultry production on a large
scale as well as animal welfare. However, the current manual counting method used in the …
scale as well as animal welfare. However, the current manual counting method used in the …
Fracture detection in pediatric wrist trauma X-ray images using YOLOv8 algorithm
RY Ju, W Cai - Scientific Reports, 2023 - nature.com
Hospital emergency departments frequently receive lots of bone fracture cases, with
pediatric wrist trauma fracture accounting for the majority of them. Before pediatric surgeons …
pediatric wrist trauma fracture accounting for the majority of them. Before pediatric surgeons …
Object detection using deep learning, CNNs and vision transformers: A review
Detecting objects remains one of computer vision and image understanding applications'
most fundamental and challenging aspects. Significant advances in object detection have …
most fundamental and challenging aspects. Significant advances in object detection have …