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Enhancing Robustness of Deep Networks Against Noisy Labels Based on A Two-Phase Formulation of Their Learning Behavior
会议论文
澳大利亚-布里斯班, 2023-7
作者:
Luo YR(罗曜儒)
收藏
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浏览/下载:0/0
  |  
提交时间:2024/01/08
Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3224-3235
作者:
Tan, Zichang
;
Liu, Ajian
;
Wan, Jun
;
Liu, Hao
;
Lei, Zhen
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/07/25
Face recognition
Training
Measurement
Graphics processing units
Deep learning
Logic gates
Feature extraction
Face recognition
ID vs spot
deep learning
cross-batch hard example mining
pseudo large batch
A concise review of recent few-shot meta-learning methods
期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 463-468
作者:
Li, Xiaoxu
;
Sun, Zhuo
;
Xue, Jing-Hao
;
Ma, Zhanyu
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  |  
浏览/下载:2/0
  |  
提交时间:2021/10/14
Meta Learning
Few-shot Learning
Image Classification
Deep Neural Networks
Small-sample Learning
Deep InterBoost networks for small-sample image classification
期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 492-503
作者:
Li, Xiaoxu
;
Chang, Dongliang
;
Ma, Zhanyu
;
Tan, Zheng-Hua
;
Xue, Jing-Hao
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2021/10/14
Ensemble learning
Deep neural network
Small-sample image classification
Overfitting
FewHshot image classification method based on sliding feature vectors
期刊论文
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2021, 卷号: 51, 期号: 5, 页码: 1785-1791
作者:
Cao, Jie
;
Qu, Xue
;
Li, Xiao-Xu
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  |  
浏览/下载:15/0
  |  
提交时间:2022/02/17
Query processing
Vector spaces
Class distributions
Classification methods
Computer applications technologies
Feature space
Features vector
Few-shot learning
Images classification
Local feature
Metric learning
Misclassifications
Research on Classification of COVID-19 Chest X-Ray Image Modal Feature Fusion Based on Deep Learning
期刊论文
JOURNAL OF HEALTHCARE ENGINEERING, 2021, 卷号: 2021
作者:
Ji, Dongsheng
;
Zhang, Zhujun
;
Zhao, Yanzhong
;
Zhao, Qianchuan
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浏览/下载:18/0
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提交时间:2021/10/14
Small sample color fundus image quality assessment based on gcforest
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 卷号: 80, 期号: 11, 页码: 17441-17459
作者:
Liu, Hao
;
Zhang, Ning
;
Jin, Shangang
;
Xu, Dayou
;
Gao, Weizhe
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  |  
浏览/下载:7/0
  |  
提交时间:2021/10/14
Color fundus image
Quality assessment
Small sample
Gcforest
Re-sampling
Remarnet: Conjoint relation and margin learning for small-sample image classification
期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2021, 卷号: 31, 期号: 4, 页码: 1569-1579
作者:
Li, Xiaoxu
;
Yu, Liyun
;
Yang, Xiaochen
;
Ma, Zhanyu
;
Xue, Jing-Hao
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浏览/下载:8/0
  |  
提交时间:2021/06/03
Deep learning
Image classification
Sampling
Classification mechanism
Competitive performance
Discriminative features
Discriminative power
Fully connected networks
Novel neural network
State-of-the-art methods
State-of-the-art performance
Distribution equalization learning mechanism for road crack detection
期刊论文
Neurocomputing, 2021, 卷号: 424, 页码: 193-204
作者:
Fang, Jie
;
Qu, Bo
;
Yuan, Yuan
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浏览/下载:25/0
  |  
提交时间:2021/01/18
Road crack detection
Salient object detection
Imbalanced sample
Ill conditioned classifier
Global random graph convolution network for hyperspectral image classification
期刊论文
Remote Sensing, 2021, 卷号: 13, 期号: 12
作者:
C. Zhang
;
J. Wang and K. Yao
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  |  
浏览/下载:2/0
  |  
提交时间:2022/06/13
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