Semantic‐aware automatic image colorization via unpaired cycle‐consistent self‐supervised network
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22667
Abstract: Automatic image colorization without manual interventions is an ill‐conditioned and inherently ambiguous problem. Most of existing methods focus on formulating colorization as a regression problem and learn parametric mappings from grayscale to color through deep… read more here.
Keywords: semantic aware; automatic image; image colorization; colorization ... See more keywords
Automatic image annotation by combining generative and discriminant models
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.108
Abstract: Generative model based image annotation methods have achieved good annotation performance. However, due to the problem of semantic gap, these methods always suffer from the images with similar visual features but different semantics. It seems… read more here.
Keywords: image; image annotation; annotation; discriminant models ... See more keywords
Automatic 3D image registration for nano-resolution chemical mapping using synchrotron spectro-tomography.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of synchrotron radiation"
DOI: 10.1107/s1600577520014691
Abstract: Nano-resolution synchrotron X-ray spectro-tomography has been demonstrated as a powerful tool for probing the three-dimensional (3D) structural and chemical heterogeneity of a sample. By reconstructing a number of tomographic data sets recorded at different X-ray… read more here.
Keywords: resolution; image registration; spectro tomography; nano resolution ... See more keywords
Automatic Image Annotation Based on Deep Learning Models: A Systematic Review and Future Challenges
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3068897
Abstract: Recently, much attention has been given to image annotation due to the massive increase in image data volume. One of the image retrieval methods which guarantees the retrieval of images in the same way as… read more here.
Keywords: based aia; image annotation; image; automatic image ... See more keywords
An Experience-Based Direct Generation Approach to Automatic Image Cropping
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3100816
Abstract: Automatic Image Cropping is a challenging task with many practical downstream applications. The task is often divided into sub-problems - generating cropping candidates, finding the visually important regions, and determining aesthetics to select the most… read more here.
Keywords: image cropping; automatic image; generation; aspect ratio ... See more keywords
A Data Augmentation Method for Deep Learning Based on Multi-Degree of Freedom (DOF) Automatic Image Acquisition
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10217755
Abstract: Deep learning technology is outstanding in visual inspection. However, in actual industrial production, the use of deep learning technology for visual inspection requires a large number of training data with different acquisition scenarios. At present,… read more here.
Keywords: image acquisition; deep learning; dof automatic; automatic image ... See more keywords
Hyperparameter Tuning and Automatic Image Augmentation for Deep Learning-Based Angle Classification on Intraoral Photographs—A Retrospective Study
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12071526
Abstract: We aimed to assess the effects of hyperparameter tuning and automatic image augmentation for deep learning-based classification of orthodontic photographs along the Angle classes. Our dataset consisted of 605 images of Angle class I, 1038… read more here.
Keywords: image augmentation; automatic image; classification; deep learning ... See more keywords