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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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长春光学精密机械与... [16]
自动化研究所 [4]
计算技术研究所 [3]
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沈阳自动化研究所 [1]
合肥物质科学研究院 [1]
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OAI收割 [27]
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会议论文 [18]
期刊论文 [9]
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2024 [2]
2023 [1]
2021 [1]
2020 [3]
2019 [1]
2015 [1]
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Exploring Neighbor Spatial Relationships for Enhanced Lumbar Vertebrae Detection in X-ray Images
期刊论文
OAI收割
ELECTRONICS, 2024, 卷号: 13
作者:
Zeng, Yu
;
Wang, Kun
;
Dai, Lai
;
Wang, Changqing
;
Xiong, Chi
  |  
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2024/11/20
lumbar vertebrae detection
spatial relationship
deep learning
X-ray image analysis
Comprehensive Relation Modelling for Image Paragraph Generation
期刊论文
OAI收割
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 369-382
作者:
Xianglu Zhu
;
Zhang Zhang
;
Wei Wang
;
Zilei Wang
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2024/04/23
Image paragraph generation, visual relationship, scene graph, graph convolutional network (GCN), long short-term memory
Memory-Based Cross-Image Contexts for Weakly Supervised Semantic Segmentation
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 5, 页码: 6006-6020
作者:
Fan, Junsong
;
Zhang, Zhaoxiang
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2023/11/17
Image segmentation
Semantics
Training
Heating systems
Context modeling
Task analysis
Computational modeling
Weakly-supervised learning
semantic segmentation
image relationship
cross-image context
Fine-Grained Visual Categorization by Localizing Object Parts With Single Image
期刊论文
OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1187-1199
作者:
Zheng, Xiangtao
;
Qi, Lei
;
Ren, Yutao
;
Lu, Xiaoqiang
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/05/28
Feature extraction
Detectors
Training
Image representation
Visualization
Semantics
Birds
Fine-grained visual categorization
Part localization
Part relationship
Spectral clustering
Dropout learning
Attribute-Cooperated Convolutional Neural Network for Remote Sensing Image Classification
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8358-8371
作者:
Zhang, Yuanlin
;
Zheng, Xiangtao
;
Yuan, Yuan
;
Lu, Xiaoqiang
  |  
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2020/12/21
Feature extraction
Task analysis
Convolutional neural networks
Remote sensing
Visualization
Semantics
Manuals
Attribute learning
convolutional neural networks (CNNs)
relationship learning
remote sensing image (RSI) classification
Visual concept conjunction learning with recurrent neural networks
期刊论文
OAI收割
NEUROCOMPUTING, 2020, 卷号: 395, 页码: 229-236
作者:
Liang, Kongming
;
Chang, Hong
;
Shan, Shiguang
;
Chen, Xilin
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2020/12/10
Attribute learning
Concept conjunction
Visual relationship detection
Image retrieval
Spatio-Temporal Memory Attention for Image Captioning
期刊论文
OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7615-7628
作者:
Ji, Junzhong
;
Xu, Cheng
;
Zhang, Xiaodan
;
Wang, Boyue
;
Song, Xinhang
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2020/12/10
Image captioning
spatio-temporal relationship
attention transmission
memory attention
LSTM
Know More Say Less: Image Captioning Based on Scene Graphs
期刊论文
OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 8, 页码: 2117-2130
作者:
Li, Xiangyang
;
Jiang, Shuqiang
  |  
收藏
  |  
浏览/下载:101/0
  |  
提交时间:2019/12/10
Image captioning
scene graph
relationship
long short-term network
attention mechanism
vision-language
Ordinal Distance Metric Learning for Image Ranking
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 7, 页码: 1551-1559
作者:
Li, Changsheng
;
Liu, Qingshan
;
Liu, Jing
;
Lu, Hanqing
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2015/09/17
Distance metric learning (DML)
image ranking
local geometry structure
ordinal relationship
A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle
会议论文
OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:
Fan XP(范晓鹏)
;
Cai TF(蔡铁峰)
;
Zhu F(朱枫)
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2013/12/26
The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method.