Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Sheng‐Ye Wang"'
Autor:
Sheng‐Ye Wang, Zhong Qu
Publikováno v:
IET Image Processing, Vol 17, Iss 5, Pp 1322-1333 (2023)
Abstract For the two‐stage object detector as a faster region‐convolutional neural network (Faster R‐CNN), upgrading the accuracy of object recognition depends on the proposal box, which is generated by the region proposal algorithms. Due to th
Externí odkaz:
https://doaj.org/article/8536b6b5ccac4024933afdc62368ff65
Publikováno v:
Multimedia Tools & Applications; Aug2024, Vol. 83 Issue 28, p70727-70748, 22p
Publikováno v:
IEEE Access, Vol 7, Pp 57604-57615 (2019)
Edge detection is a fundamental computer vision problem and has wide applications, Convolutional neural networks (CNN) has been a good fundamental component in many image edge detection systems. But the edge detection accuracy from the detection and
Externí odkaz:
https://doaj.org/article/ae2af9244e974313b145a812650c357c
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 24:5419-5429
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:2290-2301
Autor:
Sheng‐Ye Wang, Zhong Qu
Publikováno v:
IET Image Processing. 17:1322-1333
Publikováno v:
IEEE Transactions on Components, Packaging and Manufacturing Technology. 12:217-227
Publikováno v:
Pattern Recognition Letters. 145:127-134
Improving the detection accuracy and speed is the prerequisite of multi-object recognition in the complex traffic environment. Despite object detection has made significant advances based on deep neural networks, it remains a challenge to focus on sm
Publikováno v:
Engineering Applications of Artificial Intelligence. 117:105504
Publikováno v:
IEEE Access, Vol 7, Pp 57604-57615 (2019)
Edge detection is a fundamental computer vision problem and has wide applications, Convolutional neural networks (CNN) has been a good fundamental component in many image edge detection systems. But the edge detection accuracy from the detection and