Results 11 to 20 of about 6,849,681 (296)
Dealing with Topological Information Within a Fully Convolutional Neural Network [PDF]
, 2018 International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2018)
Etienne Decencière +8 more
core +6 more sources
Biomolecules, 2021 Identifying localization of proteins and their specific subpopulations associated with certain cellular compartments is crucial for understanding protein function and interactions with other macromolecules. Fluorescence microscopy is a powerful method to
Kaisa Liimatainen +3 more
doaj +1 more source
Fully hyperbolic convolutional neural networks
Research in the Mathematical Sciences, 2022 Convolutional Neural Networks (CNN) have recently seen tremendous success in various computer vision tasks. However, their application to problems with high dimensional input and output, such as high-resolution image and video segmentation or 3D medical imaging, has been limited by various factors.
Keegan Lensink, Eldad Haber, Bas Peters
openaire +4 more sources
Susceptibility-Guided Landslide Detection Using Fully Convolutional Neural Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Automatic landslide detection based on very high spatial resolution remote sensing images is crucial for disaster prevention and mitigation applications.
Yangyang Chen +7 more
doaj +1 more source
Bone tumor examination based on FCNN-4s and CRF fine segmentation fusion algorithm
Journal of Bone Oncology, 2023 Background and objective: Bone tumor is a kind of harmful orthopedic disease, there are benign and malignant points. Aiming at the problem that the accuracy of the existing machine learning algorithm for bone tumor image segmentation is not high, a bone ...
Shiqiang Wu +6 more
doaj +1 more source
Shape Carving Methods of Geologic Body Interpretation from Seismic Data Based on Deep Learning
Energies, 2022 The task of seismic data interpretation is a time-consuming and uncertain process. Machine learning tools can help to build a shortcut between raw seismic data and reservoir characteristics of interest. Recently, techniques involving convolutional neural
Sergei Petrov +3 more
doaj +1 more source
Compressed CNN Plant Leaf Ｒecognition Model Fused with Bayesian
Journal of Harbin University of Science and Technology, 2021 Aiming at the problem that there are many parameters in the process of plant leaf recognition and it is easy to produce over-fitting，in order to reduce the cost of storage and calculation，this paper proposes a plant leaf recognition convolutional ...
YAN Ming, ZHU Liang-kuan, JING Wei-peng
doaj +1 more source
Fully Hyperbolic Convolutional Neural Networks for Computer Vision
ICLR 2024, 2023 Real-world visual data exhibit intrinsic hierarchical structures that can be represented effectively in hyperbolic spaces. Hyperbolic neural networks (HNNs) are a promising approach for learning feature representations in such spaces. However, current HNNs in computer vision rely on Euclidean backbones and only project features to the hyperbolic space ...
Ahmad Bdeir +2 more
openaire +4 more sources
A Fully Convolutional Neural Network for Speech Enhancement [PDF]
Interspeech 2017, 2017 In hearing aids, the presence of babble noise degrades hearing intelligibility of human speech greatly. However, removing the babble without creating artifacts in human speech is a challenging task in a low SNR environment. Here, we sought to solve the problem by finding a `mapping' between noisy speech spectra and clean speech spectra via supervised ...
Se Rim Park, Jinwon Lee
openaire +2 more sources
Distributed Neural Network System for Multimodal Sleep Stage Detection
IEEE Access, 2023 Existing automatic sleep stage detection methods predominantly use convolutional neural network classifiers (CNNs) trained on features extracted from single-modality signals such as electroencephalograms (EEG).
Yi-Hsuan Cheng +2 more
doaj +1 more source