Fine-Tuned Convolutional Neural Nets for Cardiac MRI Acquisition Plane Recognition
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 2017 Antonio Criminisi +2 more
exaly +2 more sources
CAE-CNN-Based DOA Estimation Method for Low-Elevation-Angle Target
Remote Sensing, 2022 For the DOA (direction of arrival) estimation of a low-elevation-angle target under the influence of a multipath effect, this paper proposes a DOA estimation method based on CAE (convolutional autoencoder) and CNN (convolutional neural network).
Fangzheng Zhao +3 more
doaj +1 more source
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud [PDF]
IEEE International Conference on Robotics and Automation, 2017 We address semantic segmentation of road-objects from 3D LiDAR point clouds. In particular, we wish to detect and categorize instances of interest, such as cars, pedestrians and cyclists.
Bi-Chen Wu +3 more
semanticscholar +1 more source
Rumour Detection Based on Graph Convolutional Neural Net [PDF]
IEEE Access, 2021 Rumor detection is an important research topic in social networks, and lots of rumor detection models are proposed in recent years. For the rumor detection task, structural information in a conversation can be used to extract effective features. However, many existing rumor detection models focus on local structural features while the global structural
Na Bai +3 more
openaire +3 more sources
CDF‐net: A convolutional neural network fusing frequency domain and spatial domain features
IET Computer Vision, 2023 Convolutional neural network (CNN), as a classic deep learning algorithm, has been applied to various computer vision tasks. However, most classic CNN models focus on the extraction and utilisation of spatial domain features, while ignoring the potential
Aitao Yang +7 more
doaj +1 more source
Microstrip antenna modelling based on image‐based convolutional neural network
Electronics Letters, 2023 Convolutional neural networks (CNN) have a strong feature extraction ability for images and present a high level of efficiency and accuracy in object detection and image recognition.
Hao Fu +4 more
doaj +1 more source
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks [PDF]
European Conference on Computer Vision, 2016 We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated with binary values resulting in 32\(\times \) memory saving.
Mohammad Rastegari +3 more
semanticscholar +1 more source
A method for superfine pavement crack continuity detection based on topological loss
Electronics Letters, 2023 Deep convolutional neural networks have become a popular tool for the automatic detection of pavement cracks. Despite their widespread use, the models currently available tend to emphasize pixel‐level classification accuracy for cracks, often overlooking
Guohui Jia +4 more
doaj +1 more source
Video Anomaly Detection using Pre-Trained Deep Convolutional Neural Nets and Context Mining [PDF]
ACS/IEEE International Conference on Computer Systems and Applications, 2020 Anomaly detection is critically important for intelligent surveillance systems to detect in a timely manner any malicious activities. Many video anomaly detection approaches using deep learning methods focus on a single camera video stream with a fixed ...
Chongke Wu +3 more
semanticscholar +1 more source
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks [PDF]
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 Attention mechanisms, which enable a neural network to accurately focus on all the relevant elements of the input, have become an essential component to improve the performance of deep neural networks. There are mainly two attention mechanisms widely used in computer vision studies, \textit{spatial attention} and \textit{channel attention}, which aim ...
Qing-Long Zhang, Yu-Bin Yang
openaire +4 more sources