Results 11 to 20 of about 62,654 (265)
GSDCPeleeNet：efficient lightweight convolutional neural based on PeleeNet
Dianzi Jishu Yingyong, 2021 Convolutional neural network plays an important role in various fields, especially in the field of computer vision, but its application in mobile devices is limited by the excessive number of parameters and computation.
Ni Weijian, Qin Huibin
doaj +1 more source
EURASIP Journal on Image and Video Processing, 2019 With the development of society, electricity has become an indispensable material, and the reliability of power grid has become more and more important.
Jiazheng Lu, Yu Ye, Xunjian Xu, Qinpu Li
doaj +1 more source
Voronoi Convolutional Neural Networks
CoRR, 2020 Technical ...
Soroosh Yazdani, Andrea Tagliasacchi
openaire +2 more sources
A brain tumor identification using convolution neural network and fully convolution neural network [PDF]
MATEC Web of ConferencesBrain tumor identification, along with an investigation, is harmful to the patient. Segmentation, therefore, of paying attention to near-neighborhood growth remains accurate, effective, and healthy.
Mruthyunjaya, Mandala Suresh Kumar
doaj +1 more source
Orthogonal Convolutional Neural Networks [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Deep convolutional neural networks are hindered by training instability and feature redundancy towards further performance improvement. A promising solution is to impose orthogonality on convolutional filters. We develop an efficient approach to impose filter orthogonality on a convolutional layer based on the doubly block-Toeplitz matrix ...
Jiayun Wang +3 more
openaire +2 more sources
Design of universal convolutional layer IP core based on FPGA
Journal of Hebei University of Science and Technology, 2021 Aiming at the problems of insufficient computing speed and poor portability in the miniaturization and parallelization of convolutional neural network,this paper proposes a design of high-speed universal convolutional layer IP core using VHDL language ...
Guochen AN +4 more
doaj +1 more source
Interpretable Convolutional Neural Networks [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 This paper proposes a method to modify traditional convolutional neural networks (CNNs) into interpretable CNNs, in order to clarify knowledge representations in high conv-layers of CNNs. In an interpretable CNN, each filter in a high conv-layer represents a certain object part.
Quanshi Zhang +2 more
openaire +2 more sources
IEEE Access, 2019 Deep learning is an important support for the development of cognitive communication in the cognitive Internet of Things (IoT). Deep convolution neural networks have powerful functional expression and feature extraction capabilities.
Huaji Zhou +6 more
doaj +1 more source
EURASIP Journal on Image and Video Processing, 2018 UAV remote sensing has been widely used in emergency rescue, disaster relief, environmental monitoring, urban planning, and so on. Image recognition and image location in environmental monitoring has become an academic hotspot in the field of computer ...
Kunrong Zhao +6 more
doaj +1 more source
Research on Real-Time Face Recognition Algorithm Based on Lightweight Network
Jisuanji kexue yu tansuo, 2020 In order to achieve high-precision real-time face recognition on embedded and mobile devices, the advant-ages and disadvantages of common networks in face recognition are analyzed, and an efficient deep convolution neural network model Lightfacenet is ...
ZHANG Dian, WANG Haitao, JIANG Ying, CHEN Xing
doaj +1 more source