×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
北京航空航天大学 [6]
湖南大学 [6]
西安交通大学 [3]
大连理工大学 [2]
计算技术研究所 [1]
内容类型
会议论文 [10]
期刊论文 [8]
发表日期
2020 [1]
2019 [8]
2018 [6]
2017 [1]
2016 [1]
2014 [1]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共18条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Swallow: A Versatile Accelerator for Sparse Neural Networks
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4881-4893
作者:
Liu, Bosheng
;
Chen, Xiaoming
;
Han, Yinhe
;
Xu, Haobo
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/12/01
Accelerator
convolutional (Conv) layers
fully connected (FC) layers
sparse neural networks (SNNs)
Reliability verification-based convolutional neural networks for object tracking
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 页码: 175-185
作者:
Hu, Xiaopeng
;
Li, Jingting
;
Yang, Yan
;
Wang, Fan
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/02
object tracking
learning (artificial intelligence)
feedforward neural nets
reliability
feature selection
tracking network
reliability verification-based convolutional neural networks
object tracking
tracking algorithm
reliability analysis
deep network
single network
improperly labelled training samples
feature selection
label enhancement
convolutional layers
Multiple convolutional layers fusion framework for hyperspectral image classification
期刊论文
Neurocomputing, 2019, 卷号: Vol.339, 页码: 149-160
作者:
Guangzhe Zhao
;
Guangyun Liu
;
Leyuan Fang
;
Bing Tu
;
Pedram Ghamisi
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/13
Hyperspectral image classification
Convolutional neural network
Multiple convolutional layers fusion
Side output decision fusion
Fully convolutional layer fusion
Multiple convolutional layers fusion framework for hyperspectral image classification
期刊论文
Neurocomputing, 2019
作者:
Guangzhe Zhao
;
Guangyun Liu
;
Leyuan Fang
;
Bing Tu
;
Pedram Ghamisi
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/12/13
Hyperspectral
image
classification
Convolutional
neural
network
Multiple
convolutional
layers
fusion
Side
output
decision
fusion
Fully
convolutional
layer
fusion
Multiple convolutional layers fusion framework for hyperspectral image classification.
期刊论文
Neurocomputing, 2019, 卷号: Vol.339, 页码: 149-160
作者:
Zhao, GZ
;
Liu, GY
;
Fang, LY
;
Tu, B
;
Ghamisi, P
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/13
Convolutional neural network
Fully convolutional layer fusion
Hyperspectral image classification
Multiple convolutional layers fusion
Side output decision fusion
Multiple convolutional layers fusion framework for hyperspectral image classification.
期刊论文
Neurocomputing, 2019, 卷号: Vol.339, 页码: 149-160
作者:
Zhao, Guangzhe
;
Liu, Guangyun
;
Fang, Leyuan
;
Tu, Bing
;
Ghamisi, Pedram
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/17
Convolutional neural network
Fully convolutional layer fusion
Hyperspectral image classification
Multiple convolutional layers fusion
Side output decision fusion
Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: Vol.57 No.9, 页码: 6916-6928
作者:
Xie, J
;
He, NJ
;
Fang, LY
;
Plaza, A
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/17
Free-scale convolutional neural networks (CNNs)
fully connected layers (FCLs)
remote sensing scene classification
Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.9, 页码: 6916-6928
作者:
Jie Xie
;
Nanjun He
;
Leyuan Fang
;
Antonio Plaza
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/17
Remote sensing
Feature extraction
Iron
Data models
Image color analysis
Kernel
Semantics
Free-scale convolutional neural networks (CNNs)
fully connected layers (FCLs)
remote sensing scene classification
Multi-scale Aggregation Network for Direct Face Alignment
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Li, Peizhao
;
Zhang, Anran
;
Yue, Lei
;
Zhen, Xiantong
;
Cao, Xianbin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Benchmarking
Computer vision
Convolution
Neural networks
Semantics
Aggregation network
Attention mechanisms
Benchmark datasets
Convolutional neural network
Intermediate layers
Learning architectures
Multi-scale features
State-of-the-art methods
Network architecture
Deep High-order Supervised Hashing for Image Retrieval
会议论文
2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2018-01-01
作者:
Cheng, Jingdong
;
Sun, Qiule
;
Zhang, Jianxin
;
Wei, Xiaopeng
;
Zhang, Qiang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Benchmarking
Deep neural networks
Higher order statistics
Image enhancement
Neural networks
Pattern recognition, Cross correlations
Deep convolutional neural networks
Hashing functions
High order statistics
Multiple layers
Outer product
State of the art
State-of-the-art performance, Image retrieval
©版权所有 ©2017 CSpace - Powered by
CSpace