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Learning transferable cross-modality representations for few-shot hyperspectral and LiDAR collaborative classification
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 卷号: 126, 页码: 11
作者:
Dai, Mofan
;
Xing, Shuai
;
Xu, Qing
;
Wang, Hanyun
;
Li, Pengcheng
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/02/26
Multimodal remote sensing data
Meta-learning
Few-shot learning
Cross-modality feature learning
A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 11428-11442
作者:
Zhou, Benjia
;
Wang, Pichao
;
Wan, Jun
;
Liang, Yanyan
;
Wang, Fan
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/16
Spatiotemporal phenomena
Representation learning
Training
Optimization
Task analysis
Three-dimensional displays
Solid modeling
Complement feature
late fusion
motion recognition
RGB-D
video augmentation
Visually Guided Sound Source Separation With Audio-Visual Predictive Coding
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Song, Zengjie
;
Zhang, Zhaoxiang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Feature fusion
multimodal learning
predictive coding (PC)
self-supervised learning
sound source separation
SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition
期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 2415-2429
作者:
Lian, Zheng
;
Liu, Bin
;
Tao, Jianhua
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/15
Emotion recognition
Feature extraction
Training
Acoustics
Semisupervised learning
Benchmark testing
Hidden Markov models
Semi-supervised multi-modal interaction network (SMIN)
conversational emotion recognition
semi-supervised learning
intra-modal interaction
cross-modal interaction
Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model
期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 2, 页码: 1391-1403
作者:
Zhao, Yuxuan
;
Cao, Xinyan
;
Lin, Jinlong
;
Yu, Dunshan
;
Cao, Xixin
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Physiology
Brain modeling
Feature extraction
Electroencephalography
Biological system modeling
Convolution
Reliability
Multimodal affective states recognition
convolutional neural network
decision fusion model
physiological signals
Multimodal motor imagery decoding method based on temporal spatial feature alignment and fusion
期刊论文
Journal of Neural Engineering, 2023, 卷号: 20, 期号: 2
作者:
Zhang,Yukun
;
Qiu,Shuang
;
He,Huiguang
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/05/31
brain-computer interface
motor imagery
multimodal
EEG-fNIRS
center loss
A Multimodal Fusion Model for Estimating Human Hand Force Comparing surface electromyography and ultrasound signals
期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2022, 卷号: 29, 期号: 4, 页码: 10-24
作者:
Zou, Yongxiang
;
Cheng, Long
;
Li, Zhengwei
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/02/22
Force
Ultrasonic imaging
Muscles
Robots
Feature extraction
Estimation
Exoskeletons
Multimodal Unknown Surface Material Classification and Its Application to Physical Reasoning
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 7, 页码: 4406-4416
作者:
Wei, Junhang
;
Cui, Shaowei
;
Hu, Jingyi
;
Hao, Peng
;
Wang, Shuo
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/06/10
Robots
Convolutional neural networks
Visualization
Informatics
Feature extraction
Task analysis
Haptic interfaces
Auditory and haptic information
deep learning
multimodal fusion
physical reasoning
unknown surface material classification (USMC)
Medical lesion segmentation by combining multimodal images with modality weighted UNet
期刊论文
MEDICAL PHYSICS, 2022
作者:
Zhu, Xiner
;
Wu, Yichao
;
Hu, Haoji
;
Zhuang, Xianwei
;
Yao, Jincao
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/05/16
attention
deep neural networks
medical image segmentation
multimodality fusion
Research on Video Captioning Based on Multifeature Fusion
期刊论文
Computational Intelligence and Neuroscience, 2022, 卷号: 2022
作者:
Zhao, Hong
;
Guo, Lan
;
Chen, ZhiWen
;
Zheng, HouZe
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/06/20
Embedded layers
Frame features
Incomplete information
Large-scale datasets
Mode features
Multi-feature fusion
Performance
Pre-training
Single mode
Video frame
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