[HTML][HTML] A review on deep learning in UAV remote sensing
Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive
capability, and brought important breakthroughs for processing images, time-series, natural …
capability, and brought important breakthroughs for processing images, time-series, natural …
Deep learning-based object detection in augmented reality: A systematic review
Recent advances in augmented reality (AR) and artificial intelligence have caused these
technologies to pioneer innovation and alteration in any field and industry. The fast-paced …
technologies to pioneer innovation and alteration in any field and industry. The fast-paced …
[PDF][PDF] The computational limits of deep learning
Deep learning's recent history has been one of achievement: from triumphing over humans
in the game of Go to world-leading performance in image classification, voice recognition …
in the game of Go to world-leading performance in image classification, voice recognition …
[HTML][HTML] On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
[HTML][HTML] New innovations in pavement materials and engineering: A review on pavement engineering research 2021
Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …
environmental challenges. In the past 10 years, the pavement infrastructure strongly …
Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead
Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …
performance. However, the majority of applications that require object detection are …
A comprehensive review on vision-based violence detection in surveillance videos
Recent advancements in intelligent surveillance systems for video analysis have been a
topic of great interest in the research community due to the vast number of applications to …
topic of great interest in the research community due to the vast number of applications to …
[HTML][HTML] Object detection method for grasping robot based on improved YOLOv5
In the industrial field, the anthropomorphism of grasping robots is the trend of future
development, however, the basic vision technology adopted by the grasping robot at this …
development, however, the basic vision technology adopted by the grasping robot at this …
A lightweight modified YOLOX network using coordinate attention mechanism for PCB surface defect detection
W Xuan, G Jian-She, H Bo-Jie… - IEEE sensors …, 2022 - ieeexplore.ieee.org
Surface defect detection for the printed circuit board (PCB) is essential in PCB
manufacturing. Existing defect detection networks have several problems: low detection …
manufacturing. Existing defect detection networks have several problems: low detection …
[HTML][HTML] YOLOv4-MN3 for PCB surface defect detection
X Liao, S Lv, D Li, Y Luo, Z Zhu, C Jiang - Applied Sciences, 2021 - mdpi.com
Featured Application An improved YOLOv4 algorithm for PCB surface defect detection can
achieve higher detection accuracy and faster detection speed with lower memory …
achieve higher detection accuracy and faster detection speed with lower memory …