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 [9]
地理科学与资源研究所 [1]
上海光学精密机械研究... [1]
烟台海岸带研究所 [1]
采集方式
OAI收割 [12]
内容类型
期刊论文 [11]
学位论文 [1]
发表日期
2024 [1]
2023 [3]
2022 [1]
2021 [1]
2020 [1]
2018 [1]
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学科主题
光学工程 [1]
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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:
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收藏
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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
Omnidirectional Depth Estimation With Hierarchical Deep Network for Multi-Fisheye Navigation Systems
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 12
作者:
Su, Xiaojie
;
Liu, Shimin
;
Li, Rui
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收藏
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浏览/下载:20/0
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提交时间:2023/11/17
Feature extraction
Cameras
Estimation
Task analysis
Navigation
Costs
Semantics
Omnidirectional depth estimation
hierarchical deep network
multi-fisheye navigation system
Depth-Aware Multi-Person 3D Pose Estimation With Multi-Scale Waterfall Representations
期刊论文
OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1439-1451
作者:
Shen, Tianyu
;
Li, Deqi
;
Wang, Fei-Yue
;
Huang, Hua
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收藏
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浏览/下载:11/0
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提交时间:2023/11/17
Three-dimensional displays
Pose estimation
Feature extraction
Location awareness
Cameras
Semantics
Solid modeling
Human depth perceiving
multi-person 3d pose estimation
multi-scale representation
occlusion handling
Coastal Zone Extraction Algorithm Based on Multilayer Depth Features for Hyperspectral Images
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 15
作者:
Qiu, Shi
;
Ye, Huping
;
Liao, Xiaohan
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收藏
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浏览/下载:21/0
  |  
提交时间:2023/11/29
Feature extraction
Hyperspectral imaging
Sea measurements
Convolutional neural networks
Three-dimensional displays
Remote sensing
Water quality
3-D convolutional neural network (CNN)
depth characteristic
hyperspectrum
multilevel
remote sensing
squeeze and excitation network (SENet)
Image Segmentation of Cabin Assembly Scene Based on Improved RGB-D Mask R-CNN
期刊论文
OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 12
作者:
Fu, Yichen
;
Fan, Junfeng
;
Xing, Shiyu
;
Wang, Zhe
;
Jing, Fengshui
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收藏
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浏览/下载:34/0
  |  
提交时间:2022/06/06
Image segmentation
Robustness
Production
Position measurement
Feature extraction
Deep learning
Adaptation models
Cabin docking
cabin pose measurement
deep neural network (DNN)
red-green-blue-depth (RGB-D) image segmentation
RGB-D sensor
Efficient Parallel Branch Network With Multi-Scale Feature Fusion for Real-Time Overhead Power Line Segmentation
期刊论文
OAI收割
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 10, 页码: 12220-12227
作者:
Gao, Zishu
;
Yang, Guodong
;
Li, En
;
Liang, Zize
;
Guo, Rui
  |  
收藏
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浏览/下载:32/0
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提交时间:2021/06/07
Convolution
Feature extraction
Image segmentation
Inspection
Wires
Sensors
Real-time systems
Real-time segmentation
lightweight network
dilated depth-wise convolution
power line inspection
Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation
期刊论文
OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7019-7031
作者:
Zhang, Yuyang
;
Xu, Shibiao
;
Wu, Baoyuan
;
Shi, Jian
;
Meng, Weiliang
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收藏
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浏览/下载:30/0
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提交时间:2020/08/03
Estimation
Training
Feature extraction
Geometry
Computer vision
Cameras
Unsupervised learning
Unsupervised learning
DenseDepthNet
multi-view geometry constraint
depth consistency
烟台夹河口外柱状沉积物还原性无机硫、活性铁的变化特征及其相互关系
期刊论文
OAI收割
海洋科学, 2018, 卷号: 42, 期号: 8, 页码: 90-97
作者:
姜明
;
赵国强
;
李兆冉
;
盛彦清
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收藏
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浏览/下载:27/0
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提交时间:2020/07/08
还原性无机硫
活性铁
深层柱状沉积物
硫化度
矿化度
Reduced inorganic sulfur
Reactive iron
Deep core sediments
Degree of pyritization
Degree of sulfidity
The distribution characteristics and coupling mechanism of reduced inorganic sulfur (RIS)and reactive iron in marine core sediments are closely related to the evolution of environment quality.In this study,an improved cold diffusion method and hydrochloric acid extraction method were applied to the acid-volatile sulfur (AVS),pyrite sulfur (CRS),elemental sulfur (ES),and reactive iron [Fe (Ⅱ)and Fe (III)] analyses.The distribution characteristics and coupling mechanism of S and Fe were investigated based on a core sediment 4 meters deep collected in the northern sea area of the mouth of Jiahe River,Yantai.The results showed that the RIS in sediments was dominated by CRS,followed by AVS and ES.The content of AVS presented a narrow range with depth,whereas the CRS and ES were higher at the top and bottom layers than the middle layer
reactive iron was dominated by Fe (II),which increased with depth,while Fe (Ⅲ)gradually decreased with depth.Most of the Fe (III)was reduced to the disssolved Fe(II),which was combined with the soluble H_2S of the sulfate-reducing bacteria to produce CRS and ES in the deep layer,resulting in their accumulation at the bottom of core sediments.Furthermore,this study showed that reactive iron was not a limiting factor for the accumulation of RIS with lower degree of pyritization and degree of sulfidity.
Measurement error analysis of binocular stereo vision: effective guidelines for bionic eyes
期刊论文
OAI收割
IET SCIENCE MEASUREMENT & TECHNOLOGY, 2017, 卷号: 11, 期号: 7, 页码: 829-838
作者:
Wang, Qingbin
;
Yin, Yingjie
;
Zou, Wei
;
Xu, De
;
Yin YJ(尹英杰)
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收藏
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浏览/下载:43/0
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提交时间:2018/01/04
Measurement Errors
Stereo Image Processing
Biocybernetics
Spatial Variables Measurement
Feature Extraction
Measurement Error Analysis
Binocular Stereo Vision
Bionic Eyes
Active Cameras
Rotation Angle Errors
Image Feature Extraction Errors
Depth Measurement
Calculation Formula
Angular Velocity
Fast depth extraction from a single image
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2016, 卷号: 13, 期号: 1, 页码: 1-10
作者:
He, Lei
;
Dong, Qiulei
;
Wang, Guanghui
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收藏
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浏览/下载:22/0
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提交时间:2016/10/26
Depth Extraction
Single Image
Sparse Sift Flow