Results 31 to 40 of about 4,013,335 (305)
, 2023 Reverberation is the primary background interference of active sonar systems in shallow water environments, affecting target position detection accuracy.
Zhen Wang (72451) +3 more
core +1 more source
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling [PDF]
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020 Convolutional neural networks (CNNs) with dilated filters such as the Wavenet or the Temporal Convolutional Network (TCN) have shown good results in a variety of sequence modelling tasks. While their receptive field grows exponentially with the number of layers, computing the convolutions over very long sequences of features in each layer is time and ...
Daniel Stoller +3 more
openaire +2 more sources
U-net weights for denoising [PDF]
, 2019 U-net weights for ...
Brian Avants (418551) +1 more
core +1 more source
Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations [PDF]
CoRR, 2019 Data-driven models for audio source separation such as U-Net or Wave-U-Net are usually models dedicated to and specifically trained for a single task, e.g. a particular instrument isolation. Training them for various tasks at once commonly results in worse performances than training them for a single specialized task.
Meseguer-Brocal, Gabriel +1 more
openaire +4 more sources
U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?
, 2022 Due to their extreme long-range modeling capability, vision transformer-based networks have become increasingly popular in deformable image registration. We believe, however, that the receptive field of a 5-layer convolutional U-Net is sufficient to capture accurate deformations without needing long-range dependencies.
Xi Jia +5 more
openaire +2 more sources
U-net weights for brain segmentation [PDF]
, 2018 U-net weights for U ...
Brian Avants (418551) +1 more
core +1 more source
Automated segmentation of vertebral cortex with 3D U-Net-based deep convolutional neural network
Frontiers in Bioengineering and Biotechnology, 2022 Objectives: We developed a 3D U-Net-based deep convolutional neural network for the automatic segmentation of the vertebral cortex. The purpose of this study was to evaluate the accuracy of the 3D U-Net deep learning model.Methods: In this study, a fully
Yang Li +8 more
doaj +1 more source
U-net weights for brain extraction [PDF]
, 2018 U-net weights for ANTsRNet-based brain ...
Nick Tustison (441144) +1 more
core +1 more source
Exploring the U-Net++ Model for Automatic Brain Tumor Segmentation
IEEE Access, 2021 The accessibility and potential of deep learning techniques have increased considerably over the past years. Image segmentation is one of the many fields which have seen novel implementations being developed to solve problems in the domain.
Neil Micallef +2 more
doaj +1 more source
, 2023 Reverberation is the primary background interference of active sonar systems in shallow water environments, affecting target position detection accuracy.
Zhen Wang (72451) +3 more
core +1 more source