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Improving metric-based few-shot learning with dynamically scaled softmax loss
期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15
作者:
Zhang, Yu
;
Zuo, Xin
;
Zheng, Xuxu
;
Gao, Xiaoyong
;
Wang, Bo
收藏
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浏览/下载:0/0
  |  
提交时间:2024/02/22
Few-shot learning
Metric-based learning framework
Softmax loss improvement
Galaxy morphology classification using multiscale convolution capsule network
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2023, 卷号: 523, 期号: 1, 页码: 488-497
作者:
Li, Guangping
;
Xu, Tingting
;
Li, Liping
;
Gao, Xianjun
;
Liu, Zhijing
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  |  
浏览/下载:9/0
  |  
提交时间:2023/07/03
methods: data analysis
techniques: image processing
galaxies: general
Interaction-Aware Cut-In Trajectory Prediction and Risk Assessment in Mixed Traffic
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 10, 页码: 1752-1762
作者:
Xianglei Zhu
;
Wen Hu
;
Zejian Deng
;
Jinwei Zhang
;
Fengqing Hu
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  |  
浏览/下载:17/0
  |  
提交时间:2022/09/08
Cut-in behavior
interaction-aware
mixed traffic
risk assessment
trajectory prediction
RVFace: Reliable Vector Guided Softmax Loss for Face Recognition
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2337-2351
作者:
Wang, Xiaobo
;
Wang, Shuo
;
Liang, Yanyan
;
Gu, Liang
;
Lei, Zhen
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  |  
浏览/下载:11/0
  |  
提交时间:2022/06/06
Deep face recognition
noisy labels detection
margin-based softmax loss
mining-based softmax loss
discriminative feature learning
Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 7, 页码: 4337-4347
作者:
Yu, Keping
;
Lin, Long
;
Alazab, Mamoun
;
Tan, Liang
;
Gu, Bo
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  |  
浏览/下载:30/0
  |  
提交时间:2021/12/01
Mixed traffic
big data
5G
deep learning
LSTM
SoftMax
intention recognition
Consistent-Separable Feature Representation for Semantic Segmentation
会议论文
online, 2021-2-2
作者:
He XJ(何兴建)
;
Liu J(刘静)
;
Fu J(付君)
;
Wang JQ(王金桥)
;
Lu HQ(卢汉清)
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  |  
浏览/下载:6/0
  |  
提交时间:2022/06/24
Consistent-Separable Feature
Class-Aware Consistency loss
Semantic Segmentation
Two-stream deep sparse network for accurate and efficient image restoration
期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2020, 卷号: 200, 页码: 11
作者:
Wang, Shuhui
;
Hu, Ling
;
Li, Liang
;
Zhang, Weigang
;
Huang, Qingming
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  |  
浏览/下载:34/0
  |  
提交时间:2020/12/10
Two-stream sparse network
Image restoration
Image super-resolution
Image denoising
Improved Alexnet Based Fault Diagnosis Method for Rolling Bearing Under Variable Conditions
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2020, 卷号: 40, 期号: 3, 页码: 472-480
作者:
Zhao, Xiaoqiang
;
Zhang, Qingqing
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浏览/下载:18/0
  |  
提交时间:2020/11/14
Convolution
Failure analysis
Fault detection
Iterative methods
Time domain analysis
Complex condition
Fault diagnosis method
Iterative Optimization
State identification
Time-domain signal
Two-dimensional features
Two-dimensional spectrum
Variable conditions
Rolling bearing fault diagnosis method based on improved Alexnet and PSO-BFA
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 卷号: 39, 期号: 7, 页码: 21-28
作者:
Zhao, Xiaoqiang
;
Zhang, Qingqing
;
Chen, Peng
;
Zhu, Qixian
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  |  
浏览/下载:17/0
  |  
提交时间:2020/11/14
Complex networks
Failure analysis
Fault detection
Iterative methods
Particle swarm optimization (PSO)
Bacterial foraging algorithm
Convolution neural network
Diagnostic accuracy
Generalization performance
Iterative Optimization
Multiple iterations
Structure parameter
Swarm intelligence algorithms
Object Reidentification via Joint Quadruple Decorrelation Directional Deep Networks in Smart Transportation
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2020, 卷号: 7, 期号: 4, 页码: 2944-2954
作者:
Zhu, Jianqing
;
Huang, Jingchang
;
Zeng, Huanqiang
;
Ye, Xiaoqing
;
Li, Baoqing
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  |  
浏览/下载:14/0
  |  
提交时间:2020/07/06
Deep learning
pedestrian reidentification
smart transportation
vehicle reidentification
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