中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [19]
采集方式
OAI收割 [19]
内容类型
期刊论文 [18]
会议论文 [1]
发表日期
2021 [19]
学科主题
筛选
浏览/检索结果:
共19条,第1-10条
帮助
限定条件
发表日期:2021
专题:自动化研究所
第一署名单位
第一作者单位
通讯作者单位
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
题名升序
题名降序
作者升序
作者降序
发表日期升序
发表日期降序
Attributes Guided Feature Learning for Vehicle Re-Identification
期刊论文
OAI收割
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2021, 页码: 11
作者:
Li, Hongchao
;
Lin, Xianmin
;
Zheng, Aihua
;
Li, Chenglong
;
Luo, Bin
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/01/27
Feature extraction
Cameras
Color
Image color analysis
Task analysis
Training
Semantics
Attributes
deep features
vehicle re-identification
Exploring wav2vec 2.0 on speaker verification and language identification
会议论文
OAI收割
线上会议, 2021-8-30
作者:
Fan ZY(范志赟)
;
Li M(李蒙)
;
Zhou SY(周世玉)
;
Xu B(徐波)
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2022/09/17
self-supervised
speaker verification
language identification
multi-task learning
wav2vec 2.0
Adaptive super -resolution for person re-identification with low-resolution images
期刊论文
OAI收割
PATTERN RECOGNITION, 2021, 卷号: 114, 页码: 12
作者:
Han, Ke
;
Huang, Yan
;
Song, Chunfeng
;
Wang, Liang
;
Tan, Tieniu
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/05/06
Person re-identification
Super-resolution
Body regions
Adaptive feature integration
Unsupervised Domain Adaptation with Background Shift Mitigating for Person Re-Identification
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 20
作者:
Huang, Yan
;
Wu, Qiang
;
Xu, Jingsong
;
Zhong, Yi
;
Zhang, Zhaoxiang
  |  
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2021/08/15
Person re-identification
Unsupervised domain adaptation
Background suppression
Image generation
Virtual label estimation
An intelligent identification system combining image and DNA sequence methods for fruit flies with economic importance (Diptera: Tephritidae)
期刊论文
OAI收割
PEST MANAGEMENT SCIENCE, 2021, 页码: 14
作者:
Wang, Jiangning
;
Chen, Yingying
;
Hou, Xinwen
;
Wang, Yong
;
Zhou, Libing
  |  
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2021/05/17
fruit fly pests
intelligent identification system
image
deep learning
DNA sequence
A Visual Leader-Following Approach With a T-D-R Framework for Quadruped Robots
期刊论文
OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 4, 页码: 2342-2354
作者:
Pang, Lei
;
Cao, Zhiqiang
;
Yu, Junzhi
;
Guan, Peiyu
;
Rong, Xuewen
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2021/05/06
Visualization
Target tracking
Mobile robots
Correlation
Robot kinematics
Cameras
Detector
leader following
long-term tracking
person re-identification (re-ID)
quadruped robot
Self-attention mechanism in person re-identification models
期刊论文
OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 页码: 19
作者:
Chen, Wenbai
;
Lu, Yue
;
Ma, Hang
;
Chen, Qili
;
Wu, Xibao
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/03/29
Person re-identification
Deep neural network
Self-attention
Computer vision
PrGCN: Probability prediction with graph convolutional network for person re-identification
期刊论文
OAI收割
NEUROCOMPUTING, 2021, 卷号: 423, 页码: 57-70
作者:
Liu, Hongmin
;
Xiao, Zhenzhen
;
Fan, Bin
;
Zeng, Hui
;
Zhang, Yifan
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/03/08
Person re-identification
Graph convolutional network
Link probability prediction
Similarity measurement
Joint Person Objectness and Repulsion for Person Search
期刊论文
OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 685-696
作者:
Yao, Hantao
;
Xu, Changsheng
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/03/02
Probes
Search problems
Detectors
Proposals
Visualization
Noise measurement
Transforms
Detection-Matching person search
person repulsion
person objectness
person re-identification
Intra-domain Consistency Enhancement for Unsupervised Person Re-identification
期刊论文
OAI收割
IEEE Transactions on Multimedia, 2021, 卷号: 0, 期号: 0, 页码: 0-0
作者:
Li, Yaoyu
;
Yao, Hantao
;
Xu, Changsheng
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/06/22
Person Re-identification
unsupervised domain adaptation
representation learning