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期刊论文 [39]
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Vision-based underwater target real time detection for autonomous underwater vehicle subsea exploration
期刊论文
Frontiers in Marine Science, 2025, 卷号: 10, 期号: 1, 页码: 1-12
作者:
Xu GF(徐高飞)
;
Zhou DX(周道先)
;
Yuan LB(袁立标)
;
Guo W(郭威)
;
Huang ZP(黄泽鹏)
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/12/16
autonomous underwater vehicle
subsea exploration
real time target detection
light weight convolutional neural network
underwater image enhancement
A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 期号: *, 页码: 1-14
作者:
Hou X(侯旭)
;
Du FJ(杜福嘉)
;
Huang K(黄康)
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/18
Comb filter kernel(CF-kernel)
motor current signal analysis
convolutional neural network(CNN)
fault diagnosis
limited training sample
A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China
期刊论文
ORE GEOLOGY REVIEWS, 2023, 卷号: 163, 页码: 20
作者:
Zhang, Baoyi
;
Xu, Kun
;
Khan, Umair
;
Li, Xuefeng
;
Du, Linze
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/01/22
3D geological models
Convolutional neural networks
Deconvolution
Weight of evidence
3D mineral prospectivity modeling
Attention Weighted Local Descriptors
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 9, 页码: 10632-10649
作者:
Wang, Changwei
;
Xu, Rongtao
;
Lu, Ke
;
Xu, Shibiao
;
Meng, Weiliang
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  |  
浏览/下载:7/0
  |  
提交时间:2023/11/17
Local features detection and description
consistent attention mechanism
context augmentation
lightweight local descriptors
knowledge distillation
CeLNet: a correlation-enhanced lightweight network for medical image segmentation
期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 11, 页码: 14
作者:
Zhang, Bangze
;
Wang, Xiaoyan
;
Liu, Lianggui
;
Zhang, Denghui
;
Huang, Xiaojie
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  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
medical image
multi-slice
segmentation
lightweight
contextual learning
Vision-based underwater target real-time detection for autonomous underwater vehicle subsea exploration
期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 12
作者:
Xu, Gaofei
;
Zhou, Daoxian
;
Yuan, Libiao
;
Guo, Wei
;
Huang, Zepeng
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  |  
浏览/下载:5/0
  |  
提交时间:2023/10/07
autonomous underwater vehicle
subsea exploration
real-time target detection
lightweight convolutional neural network
underwater image enhancement
FPT: Fine-Grained Detection of Driver Distraction Based on the Feature Pyramid Vision Transformer
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022
作者:
Wang, HaiTao
;
Chen, Jie
;
Huang, ZhiXiang
;
Li, Bing
;
Lv, JianMing
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  |  
浏览/下载:15/0
  |  
提交时间:2022/12/23
Transformers
Vehicles
Feature extraction
Convolutional neural networks
Accidents
Roads
Convolution
Vision transformer
distraction detection
deep learning
residual embedding
driving safety
Deep learning based soybean seed classification
期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 卷号: 202
作者:
Huang, Ziliang
;
Wang, Rujing
;
Cao, Ying
;
Zheng, Shijian
;
Teng, Yue
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/12/23
Attention mechanism
Image classification
Image segmentation
Lightweight convolutional neural networks
Soybean seed
Estimation of the convolutional neural network with attention mechanism and transfer learning on wood knot defect classification
期刊论文
JOURNAL OF APPLIED PHYSICS, 2022, 卷号: 131
作者:
Gao, Mingyu
;
Wang, Fei
;
Liu, Junyan
;
Song, Peng
;
Chen, Jianfeng
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/12/23
Inverted N-Type Lightweight Network Based on Back Projection for Image Super-Resolution Reconstruction
期刊论文
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2022, 卷号: 34, 期号: 6, 页码: 923-932
作者:
Song, Zhaoyang
;
Zhao, Xiaoqiang
;
Hui, Yongyong
;
Jiang, Hongmei
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/07/20
Deep learning
Image reconstruction
Optical resolving power
Signal to noise ratio
Backprojections
Deep learning
Image super-resolution reconstruction
Inverted N-type network
Low resolution images
Network-based
Reconstruction algorithms
Resolution images
Super-resolution reconstruction
Superresolution
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