Local feature search network for building and water segmentation of remote sensing image

Z Ma, M Xia, L Weng, H Lin - Sustainability, 2023 - mdpi.com
Extracting buildings and water bodies from high-resolution remote sensing images is of
great significance for urban development planning. However, when studying buildings and …

Segmentation detection method for complex road cracks collected by UAV based on HC-Unet++

H Cao, Y Gao, W Cai, Z Xu, L Li - Drones, 2023 - mdpi.com
Road cracks are one of the external manifestations of safety hazards in transportation. At
present, the detection and segmentation of road cracks is still an intensively researched …

Exploring the potential of ensembles of deep learning networks for image segmentation

L Nanni, A Lumini, C Fantozzi - Information, 2023 - mdpi.com
To identify objects in images, a complex set of skills is needed that includes understanding
the context and being able to determine the borders of objects. In computer vision, this task …

Portrait segmentation using ensemble of heterogeneous deep-learning models

YW Kim, YC Byun, AVN Krishna - Entropy, 2021 - mdpi.com
Image segmentation plays a central role in a broad range of applications, such as medical
image analysis, autonomous vehicles, video surveillance and augmented reality. Portrait …

MSNet: Multifunctional Feature-Sharing Network for Land-Cover Segmentation

L Weng, J Gao, M Xia, H Lin - Remote Sensing, 2022 - mdpi.com
In recent years, the resolution of remote sensing images, especially aerial images, has
become higher and higher, and the spans of time and space have become larger and larger …

[HTML][HTML] Accurate MRI-Based Brain Tumor Diagnosis: Integrating Segmentation and Deep Learning Approaches

M Ashimgaliyev, B Matkarimov, A Barlybayev, RYM Li… - Applied Sciences, 2024 - mdpi.com
Magnetic Resonance Imaging (MRI) is vital in diagnosing brain tumours, offering crucial
insights into tumour morphology and precise localisation. Despite its pivotal role, accurately …

[PDF][PDF] Anomaly Detection of Power Time-Series Data Based on Multi-Dimensional Transformer Network

X Xiao, Z Yang, X Gao - Comput.-Aided Des. Applic, 2023 - cad-journal.net
Power time-series anomaly detection has always been one of the important means to mine
security threats in the power grid. The traditional detection method based on machine …