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
心理研究所 [4]
自动化研究所 [3]
西安光学精密机械研究... [2]
长春光学精密机械与物... [1]
遥感与数字地球研究所 [1]
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OAI收割 [11]
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期刊论文 [8]
会议论文 [2]
学位论文 [1]
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2024 [1]
2021 [1]
2020 [1]
2017 [1]
2016 [2]
2015 [1]
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An end-to-end model for multi-view scene text recognition
期刊论文
OAI收割
PATTERN RECOGNITION, 2024, 卷号: 149, 页码: 17
作者:
Banerjee, Ayan
;
Shivakumara, Palaiahnakote
;
Bhattacharya, Saumik
;
Pal, Umapada
;
Liu, Cheng-Lin
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2024/07/03
Text detection
Scene text recognition
Siamese network
Natural language model
Genetic algorithm
Multi-view text detection
Deformable scene text detection using harmonic features and modified pixel aggregation network
期刊论文
OAI收割
PATTERN RECOGNITION LETTERS, 2021, 卷号: 152, 页码: 135-142
作者:
Jain, Tanmay
;
Palaiahnakote, Shivakumara
;
Pal, Umapada
;
Liu, Cheng-Lin
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/12/28
Natural scene text detection
Maximally stable extremal region
Fourier harmonic features
Pixel aggregation network
Deep learning models
Deformable text detection
Natural-scene-based Steady-state Visual Evoked Potentials Reveal Effects of Short-term Monocular Deprivation
期刊论文
OAI收割
NEUROSCIENCE, 2020, 卷号: 435, 页码: 10-21
作者:
Lyu, Lili
;
He, Sheng
;
Jiang, Yi
;
Engel, Stephen A.
;
Bao, Min
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2020/06/21
ocular dominance
monocular deprivation
Fourier phase
natural scene
steady-state visual evoked potential (SSVEP)
Neural Correlates of Subjective Awareness for Natural Scene Categorization of Color Photographs and Line-Drawings
期刊论文
OAI收割
FRONTIERS IN PSYCHOLOGY, 2017, 卷号: 8, 期号: 210, 页码: 1-13
作者:
Fu, Qiufang
;
Liu, Yong-Jin
;
Dienes, Zoltan
;
Wu, Jianhui
;
Chen, Wenfeng
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2017/04/05
visual awareness
subjective measures
objective measures
natural scene categorization
Perceptual Awareness Scale (PAS)
The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials
期刊论文
OAI收割
CONSCIOUSNESS AND COGNITION, 2016, 卷号: 43, 期号: 6, 页码: 152-166
作者:
Fu, Qiufang
;
Liu, Yong-Jin
;
Dienes, Zoltan
;
Wu, Jianhui
;
Chen, Wenfeng
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2016/09/18
Natural scene categorization
Edge-based theory
Surface-based theory
SOA
ERPs
A PMJ-inspired cognitive framework for natural scene categorization in line drawings
期刊论文
OAI收割
NEUROCOMPUTING, 2016, 卷号: 173, 期号: 0, 页码: 2041-2048
作者:
Yu, Minjing
;
Liu, Yong-Jin
;
Wang, Su-Jing
;
Fu, Qiufang
;
Fu, Xiaolan
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2016/02/15
Visual perception
Line drawings
Natural scene categorization
Blind Image Quality Assessment via Deep Learning
期刊论文
OAI收割
ieee transactions on neural networks and learning systems, 2015, 卷号: 26, 期号: 6, 页码: 1275-1286
作者:
Hou, Weilong
;
Gao, Xinbo
;
Tao, Dacheng
;
Li, Xuelong
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2015/07/22
Deep learning
image quality assessment (IQA)
natural scene statistics (NSS)
no reference
Universal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning
期刊论文
OAI收割
ieee transactions on neural networks and learning systems, 2013, 卷号: 24, 期号: 12, 页码: 2013-2026
作者:
Gao, Xinbo
;
Gao, Fei
;
Tao, Dacheng
;
Li, Xuelong
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2015/06/09
Exponential decay characteristic (EDC)
image quality assessment (IQA)
multiple kernel learning (MKL)
natural scene statistics (NSS)
自然场景图像语义识别及标注算法研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
作者:
江爱文
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2015/09/02
自然场景图像语义分类
视觉目标类识别
图像多标签标注
基于内容的图像检索
图像理解
Natural scene image semantic classification
visual object classes categorization
multi-label image annotation
content based image retrieval
image understanding
Scene matching based on directional keylines and polar transform (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
Scene matching under complex background is a priority and difficulty in the field of computer vision
it has the characteristics of rotation and scaling invariance
commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes
anti-light and anti-slight-distortion
the image distortion exist
applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation
such as light
and utilize the rotation-scale-invariance vectors to describe the extracted keylines
change of gray levels
this method includes three steps: keylines extraction
perspective
description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE.
scaling and other differences
which cause matching difficult. This paper aims to find a scene matching algorithm