Review of transfer learning in modeling additive manufacturing processes
Modeling plays an important role in the additive manufacturing (AM) process and quality
control. In practice, however, only limited data are available for each product due to the …
control. In practice, however, only limited data are available for each product due to the …
Deep learning techniques for vehicle detection and classification from images/videos: A survey
Detecting and classifying vehicles as objects from images and videos is challenging in
appearance-based representation, yet plays a significant role in the substantial real-time …
appearance-based representation, yet plays a significant role in the substantial real-time …
Fabric defect detection using the improved YOLOv3 model
J Jing, D Zhuo, H Zhang, Y Liang… - Journal of engineered …, 2020 - journals.sagepub.com
To improve the detection rate of defect and the fabric product quality, a higher real-time
performance fabric defect detection method based on the improved YOLOv3 model is …
performance fabric defect detection method based on the improved YOLOv3 model is …
Real-time pattern-recognition of GPR images with YOLO v3 implemented by tensorflow
Artificial intelligence (AI) is widely used in pattern recognition and positioning. In most of the
geological exploration applications, it needs to locate and identify underground objects …
geological exploration applications, it needs to locate and identify underground objects …
MTI-YOLO: A light-weight and real-time deep neural network for insulator detection in complex aerial images
C Liu, Y Wu, J Liu, J Han - Energies, 2021 - mdpi.com
Insulator detection is an essential task for the safety and reliable operation of intelligent
grids. Owing to insulator images including various background interferences, most …
grids. Owing to insulator images including various background interferences, most …
Multi-scale detector for accurate vehicle detection in traffic surveillance data
The recent research by deep learning has shown many breakthroughs with high
performance that were not achieved with traditional machine learning algorithms …
performance that were not achieved with traditional machine learning algorithms …
An improved method based on deep learning for insulator fault detection in diverse aerial images
J Liu, C Liu, Y Wu, H Xu, Z Sun - Energies, 2021 - mdpi.com
Insulators play a significant role in high-voltage transmission lines, and detecting insulator
faults timely and accurately is important for the safe and stable operation of power grids …
faults timely and accurately is important for the safe and stable operation of power grids …
Federated learning for object detection in autonomous vehicles
D Jallepalli, NC Ravikumar… - 2021 IEEE Seventh …, 2021 - ieeexplore.ieee.org
With the recent proliferation of Artificial Intelligence (AI), object detection is becoming
increasingly ubiquitous. It is one of the key features of Autonomous Driving Systems. In …
increasingly ubiquitous. It is one of the key features of Autonomous Driving Systems. In …
[PDF][PDF] Comprehensive performance evaluation of yolov10, yolov9 and yolov8 on detecting and counting fruitlet in complex orchard environments
Abstract 1 Object detection, specifically fruitlet detection, is a crucial image processing
technique in agricultural automation, enabling the accurate identification of fruitlets on …
technique in agricultural automation, enabling the accurate identification of fruitlets on …
YOLOv10 to its genesis: a decadal and comprehensive review of the you only look once (YOLO) series
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …