[PDF][PDF] Analysis and design of surgical instrument localization algorithm
With the help of surgical navigation system, doctors can operate on patients more intuitively
and accurately. The positioning accuracy and real-time performance of surgical instruments …
and accurately. The positioning accuracy and real-time performance of surgical instruments …
Swin-MLP: A strawberry appearance quality identification method by Swin Transformer and multi-layer perceptron
Accurate identifying of strawberry appearance quality is an important step for robot picking in
the orchard. The convolutional neural network (CNN) has greatly helped the computer vision …
the orchard. The convolutional neural network (CNN) has greatly helped the computer vision …
Detection of foreign objects intrusion into transmission lines using diverse generation model
Y Wu, S Zhao, Z Xing, Z Wei, Y Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Foreign objects intrusion into transmission lines can lead to serious troubles, using deep
learning technology for foreign object detection has good performance and can reduce …
learning technology for foreign object detection has good performance and can reduce …
Handling severity levels of multiple co-occurring cotton plant diseases using improved YOLOX model
Automatic detection of plant diseases has emerged as a challenging field in the last decade.
Computer vision-based advancements have helped in the timely and accurate identification …
Computer vision-based advancements have helped in the timely and accurate identification …
An industrial interference-resistant gear defect detection method through improved YOLOv5 network using attention mechanism and feature fusion
S Zhang, M He, Z Zhong, D Zhu - Measurement, 2023 - Elsevier
Automatically detecting the metallic gear defects may encounter the misdetected and
undetected errors when the defect features are very close to the interferences of oil stains …
undetected errors when the defect features are very close to the interferences of oil stains …
Improved YOLOX foreign object detection algorithm for transmission lines
M Wu, L Guo, R Chen, W Du, J Wang… - Wireless …, 2022 - Wiley Online Library
It is quite simple for foreign objects to attach themselves to transmission line corridors
because of the wide variety of laying and the complex, changing environment. If these …
because of the wide variety of laying and the complex, changing environment. If these …
Identifying strawberry appearance quality by vision transformers and support vector machine
The strawberry is a highly nutritional and beneficial cash crop, and its appearance quality
sorting is a crucial step in the production process. Manual identifying and sorting, however …
sorting is a crucial step in the production process. Manual identifying and sorting, however …
ResNeXt-SVM: a novel strawberry appearance quality identification method based on ResNeXt network and support vector machine
The identification of strawberry appearance quality is a crucial step to harvest fruits and can
assist robotic picking in modern agricultural production. Most convolutional neural network …
assist robotic picking in modern agricultural production. Most convolutional neural network …
YOLOX-Dense-CT: a detection algorithm for cherry tomatoes based on YOLOX and DenseNet
The detection of cherry tomatoes has a great significance for robotic harvesting. However,
uneven environment conditions, such as branch and leaf occlusion, cluster of fruits, and so …
uneven environment conditions, such as branch and leaf occlusion, cluster of fruits, and so …
Camera calibration based on lightweight fan-shaped target detection and fitness-distance-balance chaotic marine predators algorithm
Q Liu, K Sun, X Tang, J Huo - Optics & Laser Technology, 2024 - Elsevier
Camera calibration represents a critical stage in visual measurement, directly impacting the
measurement precision. Addressing the limitations of checkerboard and circular targets …
measurement precision. Addressing the limitations of checkerboard and circular targets …