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科研机构
计算技术研究所 [13]
内容类型
期刊论文 [13]
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2021 [2]
2020 [1]
2019 [6]
2018 [3]
2017 [1]
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Practical Attacks on Deep Neural Networks by Memory Trojaning
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 6, 页码: 1230-1243
作者:
Hu, Xing
;
Zhao, Yang
;
Deng, Lei
;
Liang, Ling
;
Zuo, Pengfei
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/12/01
Trojan horses
Hardware
Integrated circuit modeling
Computational modeling
Security
Payloads
Convolutional neural networks (CNNs)
deep learning accelerator
deep learning attack
hardware Trojan
Recognizing Global Dams From High-Resolution Remotely Sensed Images Using Convolutional Neural Networks
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 6363-6371
作者:
Fang, Weizhen
;
Sun, Yiyuan
;
Ji, Rui
;
Wan, Wei
;
Ma, Lei
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/12/01
Dams
Image recognition
Remote sensing
Earth
Training
Internet
Object recognition
Convolutional neural networks (CNNs)
dams
deep learning
Google earth
object recognition
Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 265-276
作者:
Jiang, Shuqiang
;
Min, Weiqing
;
Liu, Linhu
;
Luo, Zhengdong
收藏
  |  
浏览/下载:140/0
  |  
提交时间:2019/12/10
Food recognition
ingredient knowledge
feature aggregation
convolutional neural networks
MV-Net: Toward Real-Time Deep Learning on Mobile GPGPU Systems
期刊论文
ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 2019, 卷号: 15, 期号: 4, 页码: 25
作者:
Tang, Yibin
;
Wang, Ying
;
Li, Huawei
;
Li, Xiaowei
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/12/10
Edge computing
online scheduling
deep learning
energy efficiency
approximate computing
Deep Supervised Hashing for Fast Image Retrieval
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 卷号: 127, 期号: 9, 页码: 1217-1234
作者:
Liu, Haomiao
;
Wang, Ruiping
;
Shan, Shiguang
;
Chen, Xilin
收藏
  |  
浏览/下载:76/0
  |  
提交时间:2019/12/10
Image retrieval
Hashing
Convolutional network
Contrastive loss
Triplet ranking loss
Instance-level object retrieval via deep region CNN
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 10, 页码: 13247-13261
作者:
Min, Weiqing
;
Mei, Shuhuan
;
Duan, Hua
;
Jiang, Shuqiang
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2019/08/16
Faster R-CNN
Deep learning
Instance-level object retrieval
Instre
Hedging Deep Features for Visual Tracking
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 5, 页码: 1116-1130
作者:
Qi, Yuankai
;
Zhang, Shengping
;
Qin, Lei
;
Huang, Qingming
;
Yao, Hongxun
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2019/08/16
Visual tracking
convolutional neural network
adaptive hedge
Siamese network
Binary Volumetric Convolutional Neural Networks for 3-D Object Recognition
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 1, 页码: 38-48
作者:
Ma, Chao
;
An, Wei
;
Lei, Yinjie
;
Guo, Yulan
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2019/04/03
3-D object recognition
convolutional neural network (CNN)
deep learning (DL)
network binarization
volumetric representation
CSCC: Convolution Split Compression Calculation Algorithm for Deep Neural Network
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 71607-71615
作者:
Fan, Shengyu
;
Yu, Hui
;
Lu, Dianjie
;
Liu, Zhiyong
;
Liu, Fangai
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2019/08/16
Convolutional neural network
sparse matrix vector multiplication
neural networks
convolution
sparse matrices
An overview on probability undirected graphs and their applications in image processing
期刊论文
NEUROCOMPUTING, 2018, 卷号: 321, 页码: 156-168
作者:
Zhang, Jian
;
Ding, Shifei
;
Zhang, Nan
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2019/12/10
Restricted Boltzmann machine
Conditional random field
Classification
Deep neural nets
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