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Deep learning for monocular depth estimation: A review
Depth estimation is a classic task in computer vision, which is of great significance for many
applications such as augmented reality, target tracking and autonomous driving. Traditional …
applications such as augmented reality, target tracking and autonomous driving. Traditional …
Automated visual defect detection for flat steel surface: A survey
Automated computer-vision-based defect detection has received much attention with the
increasing surface quality assurance demands for the industrial manufacturing of flat steels …
increasing surface quality assurance demands for the industrial manufacturing of flat steels …
Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions
Change detection is a vibrant area of research in remote sensing. Thanks to increases in the
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
An efficient lightweight convolutional neural network for industrial surface defect detection
Since surface defect detection is significant to ensure the utility, integrality, and security of
productions, and it has become a key issue to control the quality of industrial products, which …
productions, and it has become a key issue to control the quality of industrial products, which …
Texture image analysis and texture classification methods-A review
Tactile texture refers to the tangible feel of a surface and visual texture refers to see the
shape or contents of the image. In the image processing, the texture can be defined as a …
shape or contents of the image. In the image processing, the texture can be defined as a …
Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
Building sensible processing-structure-property (PSP) links to gain fundamental insights and
understanding of materials behavior has been the focus of many works in computational …
understanding of materials behavior has been the focus of many works in computational …
From BoW to CNN: Two decades of texture representation for texture classification
Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …
is one of the essential and challenging problems in computer vision and pattern recognition …
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability
Due to the cross-domain distribution shift aroused from diverse medical imaging systems,
many deep learning segmentation methods fail to perform well on unseen data, which limits …
many deep learning segmentation methods fail to perform well on unseen data, which limits …
A review of remote sensing image classification techniques: The role of spatio-contextual information
This paper reviewed major remote sensing image classification techniques, including pixel-
wise, sub-pixel-wise, and object-based image classification methods, and highlighted the …
wise, sub-pixel-wise, and object-based image classification methods, and highlighted the …
Credibility in social media: opinions, news, and health information—a survey
In the Social Web scenario, where large amounts of User Generated Content diffuse through
Social Media, the risk of running into misinformation is not negligible. For this reason …
Social Media, the risk of running into misinformation is not negligible. For this reason …