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自动化研究所 [3]
兰州理工大学 [1]
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计算技术研究所 [1]
湖南大学 [1]
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期刊论文 [7]
会议论文 [3]
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A New Lightweight Script Independent Scene Text Style Transfer Network
期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2023, 页码: 29
作者:
Shivakumara, Palaiahnakote
;
Roy, Ayush
;
Nandanwar, Lokesh
;
Pal, Umapada
;
Lu, Yue
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/02/22
Text detection
style transfer
CNN models
multi-lingual transfer
CNN-Based Broad Learning for Cross-Domain Emotion Classification
期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2023, 卷号: 28, 期号: 2, 页码: 360-369
作者:
Zeng, Rong
;
Liu, Hongzhan
;
Peng, Sancheng
;
Cao, Lihong
;
Yang, Aimin
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/11/14
Measurement
Deep learning
Adaptation models
Feature extraction
Convolutional neural networks
Data mining
Task analysis
cross-domain emotion classification
CNN
broad learning
classifier
co-training
Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:
Wang, Huanjie
;
Bai, Xiwei
;
Wang, Sihan
;
Tan, Jie
;
Liu, Chengbao
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/06/06
Fault diagnosis
Data models
Task analysis
Representation learning
Adaptation models
Training data
Training
Convolutional neural network (CNN)
data-driven fault diagnosis
domain generalization (DG)
model-agnostic learning
rolling bearing
Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model
期刊论文
IEEE Geoscience and Remote Sensing Letters, 2022, 卷号: 19, 页码: 1-5
作者:
Zuo XY(左心怡)
;
Zhou XF(周晓锋)
;
Guo DQ(郭大权)
;
Li S(李帅)
;
Liu SR(刘舒锐)
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/08/28
Convolution
Dual characteristics
Ocean temperature
ocean temperature prediction
Predictive models
Robots
Sea surface
Solid modeling
stereo spatial and temporal 4-D convolution model (SST-4D-CNN).
Temperature distribution
Candidate box fusion based approach to adjust position of the candidate box for object detection
期刊论文
IET IMAGE PROCESSING, 2021, 卷号: 15, 期号: 12, 页码: 2799-2809
作者:
Cao, Jie
;
Ren, Wei
;
Zhang, Hong
;
Chen, Zuohan
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2021/10/14
Deep learning
Object recognition
CNN models
Detection accuracy
Detection framework
Fusion methods
Generalization ability
Object detection method
Selection methods
Selection stages
Monocular depth estimation based on a single image: A literature review
会议论文
Xi'an, China, 2020-11-13
作者:
Tian, Yuan
;
Hu, Xiaodong
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/03/02
Depth estimation
depth cues
probabilistic graphical models
data-driven
CNN
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 737-748
作者:
Han, Jiayu
;
Zheng, Lei
;
Xu, Yuanbo
;
Zhang, Bangzuo
;
Zhuang, Fuzhen
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2020/12/10
Adaptation models
Recommender systems
Feature extraction
Computational modeling
Predictive models
Task analysis
Adaptive systems
Adaptive user preference model
attention factor
convolutional neural network (CNN)
recommendation system
Semi-dense Stereo Matching using Dual CNNs
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Mao, Wendong
;
Wang, Mingjie
;
Zhou, Jun
;
Gong, Minglun
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2019/12/02
Computer vision
Textures, CNN models
Dense stereo matching
Global informations
Non-parametric
Robust solutions
State of the art
Stereo matching, Stereo image processing
A Novel Fuzzy-Based Convolutional Neural Network Method to Traffic Flow Prediction With Uncertain Traffic Accident Information
期刊论文
IEEE Access, 2019, 卷号: Vol.7, 页码: 20708-20722
作者:
Jiyao An
;
Li Fu
;
Meng Hu
;
Weihong Chen
;
Jiawei Zhan
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/13
Accidents
Predictive
models
Deep
learning
Feature
extraction
Data
models
Convolutional
neural
networks
Market
research
Traffic
flow
prediction
traffic
accident
information
fuzzy
inference
system
(FIS)
convolutional
neural
network
(CNN)
fuzzy-based
convolutional
neural
network
(F-CNN)
Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-Tomography
会议论文
作者:
Guo, Jialiang
;
Zhou, Bo
;
Zeng, Xiangrui
;
Freyberg, Zachary
;
Xu, Min
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/26
3D Visualization
Classification accuracy
Classification approach
Classification models
Computational costs
Convolutional Neural Networks (CNN)
Model compression
Structural separations
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