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期刊论文 [31]
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AFCANet: An adaptive feature concatenate attention network for multi-focus image fusion
期刊论文
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2023, 卷号: 35, 期号: 9, 页码: 22
作者:
Liu, Shuaiqi
;
Peng, Weijian
;
Liu, Yali
;
Zhao, Jie
;
Su, Yonggang
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/15
Multi -focus image fusion
Unsupervised training
Adaptive feature concatenate
Attention module
Adaptive Long-neck Network with Atrous-Residual Structure for Instance Segmentation
期刊论文
IEEE Sensors Journal, 2023, 卷号: 7, 期号: 23, 页码: 7786-7797
作者:
Wenjie Geng
;
Zhiqiang Cao
;
Peiyu Guan
;
Guangli Ren
;
Junzhi Yu
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  |  
浏览/下载:9/0
  |  
提交时间:2023/06/29
Dim and Small Target Tracking Using an Improved Particle Filter Based on Adaptive Feature Fusion
期刊论文
ELECTRONICS, 2022, 卷号: 11, 期号: 15
作者:
Huo, Youhui
;
Chen, Yaohong
;
Zhang, Hongbo
;
Zhang, Haifeng
;
Wang, Hao
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  |  
浏览/下载:14/0
  |  
提交时间:2022/09/28
dim and small target
target tracking
feature fusion
particle filter
resampling method
MFFENet and ADANet: a robust deep transfer learning method and its application in high precision and fast cross-scene recognition of earthquake-induced landslides
期刊论文
LANDSLIDES, 2022, 页码: 31
作者:
Xu, Qingsong
;
Ouyang, Chaojun
;
Jiang, Tianhai
;
Yuan, Xin
;
Fan, Xuanmei
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  |  
浏览/下载:26/0
  |  
提交时间:2022/05/23
Earthquake-induced landslide recognition
Deep learning
Unsupervised domain adaptation
Multi-scale Feature Fusion with Encoder-decoder Network (MFFENet)
Adversarial Domain Adaptation Network (ADANet)
Landslide spatial analysis
Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 卷号: 23, 期号: 2, 页码: 13
作者:
Wu, Wenming
;
Zhang, Wensheng
;
Ma, Xiaoke
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  |  
浏览/下载:30/0
  |  
提交时间:2022/07/25
single-cell multi-omics data
integrative analysis
adaptive graph learning
cell type
Mechanical Fault Diagnosis Method Based on Multi-sensor Signal Feature Fusion Using Deep Convolutional Neural Network
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 362-369 and 416
作者:
Wu, Yaochun
;
Zhao, Rongzhen
;
Jin, Wuyin
;
He, Tianjing
;
Wu, Jie
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  |  
浏览/下载:16/0
  |  
提交时间:2022/02/17
Complex networks
Convolution
Convolutional neural networks
Deep neural networks
Failure analysis
Fault detection
Fault classification
Feature representation
Hierarchical fusions
Mechanical fault diagnosis
Multi-sensor information fusion
Multisensor data fusion
One-dimensional features
Softmax regressions
Multi-Scale Spatial Temporal Graph Neural Network for Skeleton-Based Action Recognition
期刊论文
IEEE ACCESS, 2021, 卷号: 9
作者:
Feng, Dong
;
Wu, ZhongCheng
;
Zhang, Jun
;
Ren, TingTing
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  |  
浏览/下载:25/0
  |  
提交时间:2021/05/17
Skeleton-based action recognition
multi-scale
spatial-temporal network
graph convolutional network
adaptive fusion
Multi-exposure fusion of gray images under low illumination based on low-rank decomposition
期刊论文
Remote Sensing, 2021, 卷号: 13, 期号: 2, 页码: 1-21
作者:
T. Nie
;
L. Huang
;
H. Liu
;
X. Li
;
Y. Zhao
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  |  
浏览/下载:3/0
  |  
提交时间:2022/06/13
Adaptive Coarse-to-Fine Interactor for Multi-Scale Object Detection
会议论文
线上, 2021.07
作者:
Li Zekun
;
Liu Yufan
;
Li Bing
;
Hu Weiming
;
Zhou Xue
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/06/21
Adaptive feature fusion with attention mechanism for multi-scale target detection
期刊论文
Neural Computing and Applications, 2021, 卷号: 33, 期号: 7, 页码: 2769-2781
作者:
Ju MR(鞠默然)
;
Luo JN(罗江宁)
;
Wang ZB(王仲博)
;
Luo HB(罗海波)
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  |  
浏览/下载:21/0
  |  
提交时间:2020/08/01
Deep learning
Target detection
Adaptive feature fusion
Attention mechanism
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