×
验证码:
换一张
忘记密码?
记住我
切换中国科技网通行证登录
×
切换中国科技网通行证登录
登录
中文版
|
English
中国科学院自动化研究所机构知识库
Knowledge Commons of Institute of Automation,CAS
登录
注册
ALL
ORCID
题名
作者
导师
学科领域
关键词
资助项目
文献类型
出处
会议名称
收录类别
出版者
发表日期
存缴日期
学科门类
学习讨论厅
图片搜索
粘贴图片网址
首页
研究单元&专题
作者
文献类型
知识图谱
新闻&公告
在结果中检索
研究单元&专题
多模态人工智能系统全... [3]
复杂系统认知与决策实... [2]
紫东太初大模型研究中... [2]
智能感知与计算研究中... [1]
作者
唐明 [1]
张婷 [1]
赵飞 [1]
乔红 [1]
杨旭 [1]
雷震 [1]
更多...
文献类型
期刊论文 [8]
发表日期
2021 [8]
语种
英语 [8]
出处
IEEE TRANS... [8]
资助项目
Beijing Br... [1]
Beijing Sc... [1]
Dongguan C... [1]
Intel Coll... [1]
Key-Area R... [1]
NSFC[61627... [1]
更多...
收录类别
SCI [8]
导师
资助机构
National K... [5]
National N... [5]
Strategic ... [2]
Beijing Br... [1]
Beijing Sc... [1]
Dongguan C... [1]
更多...
×
知识图谱
CASIA OpenIR
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8条,第1-8条
帮助
限定条件
收录类别:SCI
出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
发表日期:2021
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
提交时间升序
提交时间降序
期刊影响因子升序
期刊影响因子降序
发表日期升序
发表日期降序
题名升序
题名降序
作者升序
作者降序
WOS被引频次升序
WOS被引频次降序
Antidecay LSTM for Siamese Tracking With Adversarial Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4475-4489
作者:
Zhao, Fei
;
Zhang, Ting
;
Wu, Yi
;
Tang, Ming
;
Wang, Jinqiao
收藏
  |  
浏览/下载:229/0
  |  
提交时间:2021/12/28
Target tracking
Feature extraction
Computer architecture
Visualization
Training
Task analysis
Adversarial learning
deep learning
long short-term memory (LSTM)
visual tracking
Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4151-4165
作者:
Hu, Xuecai
;
Zhang, Zhang
;
Shan, Caifeng
;
Wang, Zilei
;
Wang, Liang
;
Tan, Tieniu
收藏
  |  
浏览/下载:226/0
  |  
提交时间:2021/11/03
Degradation
Kernel
Noise level
Convolution
Spatial resolution
Imaging
Arbitrary degradation
blur kernel
deep learning
meta-learning
scale factor
super-resolution
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 0
作者:
Liu, Fei
;
Liu, Jing
;
Hong, Richang
;
Lu, Hanqing
Adobe PDF(3550Kb)
  |  
收藏
  |  
浏览/下载:315/78
  |  
提交时间:2022/01/27
video question answering
attention mechanism
metric learning
Weakly Aligned Feature Fusion for Multimodal Object Detection
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Zhang, Lu
;
Liu, Zhiyong
;
Zhu, Xiangyu
;
Song, Zhan
;
Yang, Xu
;
Lei, Zhen
;
Qiao, Hong
收藏
  |  
浏览/下载:202/0
  |  
提交时间:2022/01/27
Object detection
Feature extraction
Detectors
Robustness
Cameras
Automation
Training
Deep learning
feature fusion
multimodal object detection
pedestrian detection
ECBC: Efficient Convolution via Blocked Columnizing
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Zhao, Tianli
;
Hu, Qinghao
;
He, Xiangyu
;
Xu, Weixiang
;
Wang, Jiaxing
;
Leng, Cong
;
Cheng, Jian
Adobe PDF(3003Kb)
  |  
收藏
  |  
浏览/下载:279/29
  |  
提交时间:2022/01/27
Convolution
Tensors
Layout
Memory management
Indexes
Transforms
Performance evaluation
Convolutional neural networks (CNNs)
direct convolution
high performance computing for mobile devices
im2col convolution
memory-efficient convolution (MEC)
Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:
Zhang, Tielin
;
Jia, Shuncheng
;
Cheng, Xiang
;
Xu, Bo
收藏
  |  
浏览/下载:209/0
  |  
提交时间:2022/01/27
Neurons
Biology
Convolution
Biological neural networks
Tuning
Membrane potentials
Kernel
Biologically plausible computing
neuronal dynamics
reward propagation
spiking neural network (SNN)
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 1-7
作者:
Wang RQ(王瑞琪)
;
Zhang XY(张煦尧)
;
Liu CL(刘成林)
Adobe PDF(1403Kb)
  |  
收藏
  |  
浏览/下载:237/49
  |  
提交时间:2022/01/27
domain-agnostic few-shot recognition
image classification
meta-learning
prototypical learning
Convolutional Ordinal Regression Forest for Image Ordinal Estimation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Zhu, Haiping
;
Shan, Hongming
;
Zhang, Yuheng
;
Che, Lingfu
;
Xu, Xiaoyang
;
Zhang, Junping
;
Shi, Jianbo
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:202/0
  |  
提交时间:2022/01/27
Decision trees
Estimation
Task analysis
Forestry
Vegetation
Random forests
Support vector machines
Differentiable decision trees
image ordinal estimation
ordinal distribution learning
ordinal regression (OR)
random forest