Searchconvolutional neural networksreturned 13 results

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1

Polarization imaging camouflage target detection based on focused attention receptive field network

基于集中注意力接受场网络的偏振成像伪装目标检测

Xu Guoming

Chen Qizhi

Liu Qi

Ma Jian

Wang Feng

polarization image

camouflaged object segmentation

machine vision

convolutional neural networks

dataset

Accepted Paper No. 8, 2024 : doi:10.19734/j.issn.1001-3695.2023.10.0574

2

Low signal-to-noise ratio automatic modulation recognition method based on CGDNN

基于CGDNN的低信噪比自动调制识别方法

Zhou Shunyong

Lu Huan

Hu Qin

Peng Ziyang

Zhang Hangling

automatic modulation recognition

Wavelet threshold denoising

convolutional neural networks

gated recurrent units

deep neural networks

Accepted Paper No. 8, 2024 : doi:10.19734/j.issn.1001-3695.2023.11.0581

3

Acoustic scene classification method based on paired feature fusion

基于配对特征融合的声学场景分类方法

Shen Xinhao

Chen Jiaye

Song Xiaoning

acoustic scene classification

paired feature fusion

lightweight convolutional neural networks

multiple devices

attention mechanism

No. 6, 2023 : 1771-1776 doi:10.19734/j.issn.1001-3695.2022.09.0500

4

Multi-modal video scene segmentation optimization algorithm based on convolutional neural network

基于卷积神经网络的多模态视频场景分割优化算法

Huang Qing

Feng Hongcai

Liu Li

scene segmentation

multi-modal

convolutional neural networks(CNN)

similarity measure

VGG19

No. 5, 2022 : 1595-1600 doi:10.19734/j.issn.1001-3695.2021.10.0404

5

Research status and prospect of single image rain removal algorithm

单幅图像去雨算法研究现状及展望

Chen Shuman

Chen Wei

Yin Zhong

image deraining

image restoration

deep learning

convolutional neural networks

No. 1, 2022 : 9-17 doi:10.19734/j.issn.1001-3695.2021.05.0209

6

Remaining life prediction of rolling bearing based on CNN-WaveNet

基于CNN-WaveNet的滚动轴承剩余寿命预测

Quan Hang

Zhang Qiang

Shao Siyu

Niu Tianlin

Yang Xinyu

deep learning

convolutional neural networks(CNN)

WaveNet

rolling bearing

life prediction

No. 10, 2021 : 3098-3103 doi:10.19734/j.issn.1001-3695.2021.03.0078

7

Sequential recommendation model that combines self-attention mechanism with long-term and short-term preferences

融合自注意力机制与长短期偏好的序列推荐模型

Shen Xueli

Du Zhiwei

sequential recommendation

latent space

self-attention mechanism

pairwise encoding

convolutional neural networks

No. 5, 2021 : 1371-1375,1380 doi:10.19734/j.issn.1001-3695.2020.05.0121

8

Relation extraction based on recurrent convolutional neural network

基于循环卷积神经网络的实体关系抽取方法研究

Wan Jing

Li Haoming

Yan Huanchun

Zhang Xuechao

GRU

recurrent convolutional neural networks

attention

relation extraction

No. 3, 2020 : 699-703 doi:10.19734/j.issn.1001-3695.2018.09.0635

9

Question classification based on MAC-LSTM

基于MAC-LSTM的问题分类研究

Yu Bengong

Xu Qingtang

Zhang Peihang

question and answering

question classification

attention mechanism

interrogative attention mechanism

convolutional neural networks

LSTM

No. 1, 2020 : 40-43 doi:10.19734/j.issn.1001-3695.2018.05.0452

10

Research on video description based on deep bidirectional model and feature fusion

基于深度双向模型和特征融合的视频转文字研究

Ning Peiyang

Shi Jinglun

Zhang Rongfeng

Qiu Wei

video to text

deep bidirectional model

Haar feature

feature fusion

convolutional neural networks

No. 1, 2020 : 317-320 doi:10.19734/j.issn.1001-3695.2018.03.0488

11

Dynamic gesture recognition based on wide residual networks and long short-term memory networks

融合宽残差和长短时记忆网络的动态手势识别研究

Liang Zhijie

Liao Shengbin

gesture recognition

3D convolutional neural networks

long short-term memory networks

wide residual networks

No. 12, 2019 : 3846-3852 doi:10.19734/j.issn.1001-3695.2018.07.0429

12

Driver’s fatigue detection system based on multi-scale pooling convolutional neural networks

基于多尺度池化卷积神经网络的疲劳检测方法研究

Gu Wanghuan

Zhu Yu

Chen Xudong

Zheng Bingbing

He Linfei

visual feature analysis

multi-scale pooling

convolutional neural network

fatigue detection

face detection

No. 11, 2019 : 3471-3475 doi:10.19734/j.issn.1001-3695.2018.05.0337

13

Chinese fonts style transfer based on generative adversarial networks

基于生成式对抗网络的中文字体风格迁移

Teng Shaohua

Kong Lengrui

style transfer

generative adversarial networks(GAN)

convolutional neural networks

residual networks

deep learning

No. 10, 2019 : 3164-3167 doi:10.19734/j.issn.1001-3695.2018.04.0330