中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [6]
重庆绿色智能技术研究... [2]
成都山地灾害与环境研... [1]
计算技术研究所 [1]
长春光学精密机械与物... [1]
数学与系统科学研究院 [1]
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OAI收割 [14]
内容类型
期刊论文 [14]
发表日期
2024 [2]
2022 [4]
2021 [2]
2020 [2]
2019 [2]
2018 [2]
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学科主题
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GCSA: A New Adversarial Example-Generating Scheme Toward Black-Box Adversarial Attacks
期刊论文
OAI收割
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 卷号: 70, 期号: 1, 页码: 2038-2048
作者:
Fan, Xinxin
;
Li, Mengfan
;
Zhou, Jia
;
Jing, Quanliang
;
Lin, Chi
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/12/06
Closed box
Perturbation methods
Predictive models
Indexes
Training
Glass box
Optimization
Deep learning
adversarial examples
black-box adversarial attack
transferability
IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 329-341
作者:
Feng, Cheng
;
Chen, Zhen
;
Zhang, Congxuan
;
Hu, Weiming
;
Li, Bing
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2024/03/26
Estimation
Iterative methods
Cameras
Task analysis
Feature extraction
Decoding
Training
Monocular depth estimation
iterative refinement
self-supervised learning
deep learning
Soil Moisture Measuring Techniques and Factors Affecting the Moisture Dynamics: A Comprehensive Review
期刊论文
OAI收割
SUSTAINABILITY, 2022, 卷号: 14, 期号: 18, 页码: 23
作者:
Rasheed, Muhammad Waseem
;
Tang, Jialiang
;
Sarwar, Abid
;
Shah, Suraj
;
Saddique, Naeem
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/12/26
surface soil moisture
volumetric-tensiometric methods
moisture sensors
remote sensing methods
deep learning methods
Adversarial Information Bottleneck
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10
作者:
Zhai, Penglong
;
Zhang, Shihua
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/02/07
Robustness
Optimization
Mutual information
Deep learning
Perturbation methods
Training
Task analysis
Adversarial robustness
deep learning
hyperparameter selection
information bottleneck (IB)
Adaptive learning attention network for underwater image enhancement
期刊论文
OAI收割
IEEE Robotics and Automation Letters, 2022, 卷号: 7, 期号: 2, 页码: 5326-5333
作者:
Liu SB(刘世本)
;
Fan HJ(范慧杰)
;
Lin S(林森)
;
Wang Q(王强)
;
Ding ND(丁乃达)
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2022/03/31
Attention mechanism
computer vision for automation
deep learning methods
underwater image enhancement
Perturbation Inactivation Based Adversarial Defense for Face Recognition
期刊论文
OAI收割
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2947-2962
作者:
Ren, Min
;
Zhu, Yuhao
;
Wang, Yunlong
;
Sun, Zhenan
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/11/14
Face recognition
Perturbation methods
Robustness
Immune system
Principal component analysis
Deep learning
Training
Adversarial machine learning
deep learning
graph neural network
face recognition
Joint Deep Multi-View Learning for Image Clustering
期刊论文
OAI收割
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 11, 页码: 3594-3606
作者:
Xie, Yuan
;
Lin, Bingqian
;
Qu, Yanyun
;
Li, Cuihua
;
Zhang, Wensheng
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/11/03
Clustering methods
Feature extraction
Electronic mail
Correlation
Learning systems
Clustering algorithms
Machine learning
Multi-view clustering
deep learning
multi-view fusion
Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1523-1538
作者:
Samuel Harford
;
Fazle Karim
;
Houshang Darabi
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/09/03
Adversarial machine learning
deep learning
multivariate time series
perturbation methods
CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words
期刊论文
OAI收割
CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133
作者:
Yuan, Yong
;
Chen, Chen
;
Hu, Xiyuan
;
Peng, Silong
  |  
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2021/03/08
entropy
image classification
learning (artificial intelligence)
neural nets
object detection
optimisation
quantisation (signal)
network structure
DNN
low-bit quantization
time-consuming training
compressor-based fast nonuniform quantization method
quantization model
post-training quantization methods
deep neural networks
network quantization
compressor-based nonuniform quantization
CNQ
Non-uniform quantization
Knowledge distillation
Unlabeled samples
Network compression
Deep Self-Evolution Clustering
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:
Chang, Jianlong
;
Meng, Gaofeng
;
Wang, Lingfeng
;
Xiang, Shiming
;
Pan, Chunhong
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2020/06/02
Task analysis
Unsupervised learning
Training
Clustering methods
Pattern analysis
Clustering
deep self-evolution clustering
self-evolution clustering training
deep unsupervised learning