Coupled-learning convolutional neural networks for object recognition
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5262-0
Abstract: Recently, convolutional neural networks (CNN) have been attracting considerable attention in various computer vision tasks. Motivated by neuroscience, CNN has several similar properties with the learning process of human brain. A prominent difference is that… read more here.
Keywords: neural networks; coupled learning; convolutional neural; recognition ... See more keywords
Vision-based defects detection for bridges using transfer learning and convolutional neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Structure and Infrastructure Engineering"
DOI: 10.1080/15732479.2019.1680709
Abstract: Abstract Manual visual inspection is customarily used to identify and evaluate service status of bridges. However, current procedures followed by human inspectors demand long inspection time to access bridges. Also, highly relying on subjective or… read more here.
Keywords: transfer learning; vision based; using transfer; convolutional neural ... See more keywords
Supervised learning with convolutional neural networks for hyperspectral visualization
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2020.1717014
Abstract: ABSTRACT The Visualization for hyperspectral images is demanded by the ground processing system for quick view and information survey. Previous methods using band selection or dimension reduction fail to produce stable details and good colours… read more here.
Keywords: networks hyperspectral; supervised learning; neural networks; learning convolutional ... See more keywords