Application of image processing in evaluation of hydraulic fracturing with liquid nitrogen: A case study of coal samples from Karaganda Basin
Research of microstructure and permeability evolution of coal following LN2 treatment
elucidate the process of cryogenic fracturing due to environmentally friendly behavior in …
elucidate the process of cryogenic fracturing due to environmentally friendly behavior in …
Box-based refinement for weakly supervised and unsupervised localization tasks
It has been established that training a box-based detector network can enhance the
localization performance of weakly supervised and unsupervised methods. Moreover, we …
localization performance of weakly supervised and unsupervised methods. Moreover, we …
Seeing a rose in five thousand ways
What is a rose, visually? A rose comprises its intrinsics, including the distribution of
geometry, texture, and material specific to its object category. With knowledge of these …
geometry, texture, and material specific to its object category. With knowledge of these …
An object-based ground filtering of airborne lidar data for large-area dtm generation
Digital terrain model (DTM) creation is a modeling process that represents the Earth's
surface. An aptly designed DTM generation method tailored for intended study can …
surface. An aptly designed DTM generation method tailored for intended study can …
Unsupervised abnormality detection in neonatal MRI brain scans using deep learning
Abstract Analysis of 3D medical imaging data has been a large topic of focus in the area of
Machine Learning/Artificial Intelligence, though little work has been done in algorithmic …
Machine Learning/Artificial Intelligence, though little work has been done in algorithmic …
One DAG to rule them all
In this paper, we present novel strategies for optimizing the performance of many binary
image processing algorithms. These strategies are collected in an open-source framework …
image processing algorithms. These strategies are collected in an open-source framework …
PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation
This paper proposes a cross-modal distillation framework PartDistill which transfers 2D
knowledge from vision-language models (VLMs) to facilitate 3D shape part segmentation …
knowledge from vision-language models (VLMs) to facilitate 3D shape part segmentation …
An open-source robust machine learning platform for real-time detection and classification of 2D material flakes
The most widely used method for obtaining high-quality two-dimensional (2D) materials is
through mechanical exfoliation of bulk crystals. Manual identification of suitable flakes from …
through mechanical exfoliation of bulk crystals. Manual identification of suitable flakes from …
A State-of-the-Art Review with Code about Connected Components Labeling on GPUs
This article is about Connected Components Labeling (CCL) algorithms developed for GPU
accelerators. The task itself is employed in many modern image-processing pipelines and …
accelerators. The task itself is employed in many modern image-processing pipelines and …
[HTML][HTML] Automated masonry spalling severity segmentation in historic railway tunnels using deep learning and a block face plane fitting approach
Masonry lined tunnel condition assessment is a predominantly manual process. It consists
primarily of a visual inspection followed by a lengthy and subjective manual defect labelling …
primarily of a visual inspection followed by a lengthy and subjective manual defect labelling …