Results 41 to 50 of about 12,040,618 (293)
Weakly Supervised Deep Semantic Segmentation Using CNN and ELM with Semantic Candidate Regions
Complexity, 2019 The task of semantic segmentation is to obtain strong pixel-level annotations for each pixel in the image. For fully supervised semantic segmentation, the task is achieved by a segmentation model trained using pixel-level annotations.
Xinying Xu +4 more
doaj +1 more source
Semantic Segmentation of 3D Medical Images with 3D Convolutional Neural Networks
CLEI Electronic Journal, 2020 A neural network is a mathematical model that is able to perform a task automatically or semi-automatically after learning the human knowledge that we provided.
Alejandra Márquez Herrera +2 more
doaj +1 more source
Semantic Segmentation For Aerial Images
International Journal of Research Publication and ReviewsSemantic segmentation of aerial imagery plays a critical role in modern urban planning, environmental monitoring, and the development of smart cities. This project presents an interactive webbased application that performs semantic segmentation on high-resolution aerial images using a deep learning-based U-Net model.
Dr. B. Harika, M. Bharath, K. Himneesh
openaire +2 more sources
Applied Sciences, 2023 Aerial images are important for monitoring land cover and land resource management. An aerial imaging source which keeps its position at a higher altitude, and which has a considerable duration of airtime, employs wireless communications for sending ...
Kalupahanage Dilusha Malintha De Silva +1 more
doaj +1 more source
International Journal of Digital EarthIn the field of remote sensing, using a large amount of labeled image data to supervise the training of fully convolutional networks for the semantic segmentation of images is expensive.
Zenan Yang +4 more
doaj +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Image segmentation, evaluation, and applications [PDF]
, 2010 This thesis aims to advance research in image segmentation by developing robust techniques for evaluating image segmentation algorithms. The key contributions of this work are as follows. First, we investigate the characteristics of existing measures for
McGuinness, Kevin
core +2 more sources
Multi modal multi-semantic image retrieval [PDF]
, 2010 PhDThe rapid growth in the volume of visual information, e.g. image, and video can overwhelm users’ ability to find and access the specific visual information of interest to them.
Kesorn, Kraisak
core +4 more sources
Image Style Transfer Algorithm Based on Semantic Segmentation
IEEE Access, 2021 Most of the existing image style transfer algorithms transfer the whole image style as a whole. Style feature is a set of correlation matrix based on style image, namely Gram matrix. Each matrix is a global description of the style image.
Zhijie Lin +7 more
doaj +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source