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IRDCLNet: Instance Segmentation of Ship Images Based on Interference Reduction and Dynamic Contour Learning in Foggy Scenes
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 9, 页码: 6029-6043
作者:
Sun, Yuxin
;
Su, Li
;
Luo, Yongkang
;
Meng, Hao
;
Zhang, Zhi
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/11/14
Marine vehicles
Image segmentation
Meteorology
Feature extraction
Interference
Object detection
Visualization
Foggy scene
ship instance segmentation
interference reduction module
dynamic contour learning
Accurate and robust feature description and dense point-wise matching based on feature fusion for endoscopic images
期刊论文
Computerized Medical Imaging and Graphics, 2021, 卷号: 94, 页码: 1-17
作者:
Li RY(李冉阳)
;
Pan JJ(潘俊君)
;
Yang YM(杨永明)
;
Wei, Nan
;
Yan B(闫斌)
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/11/18
Contour description
Dense feature detection
Feature description
Low-rank analysis
Point-wise feature matching
RPCA decomposition
Siamese Tracking from Single Point Initialization
期刊论文
SENSORS, 2019, 卷号: 19, 期号: 3, 页码: 1-17
作者:
Hui B(惠斌)
;
Luo HB(罗海波)
;
Chang Z(常铮)
;
Xu Z(徐峥)
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2019/03/30
object tracking
contour detection
Siamese network
deep learning
DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 3
作者:
Zou, Qin
;
Zhang, Zheng
;
Li, Qingquan
;
Qi, Xianbiao
;
Wang, Qian
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  |  
浏览/下载:1/0
  |  
提交时间:2019/12/05
Line detection
edge detection
contour grouping
crack detection
convolutional neural network
A Monocular Vision-Based Framework for Power Cable Cross-Section Measurement
期刊论文
ENERGIES, 2019, 卷号: 12, 期号: 15
作者:
Zhang, Xiaoming
;
Yin, Hui
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  |  
浏览/下载:6/0
  |  
提交时间:2019/12/05
power cable test
cross-section dimension measurement
contour detection
defect detection
monocular vision-based measurement
Affine invariant fusion feature extraction based on geometry descriptor and BIT for object recognition
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: Vol.13 No.1, 页码: 57-72
作者:
Yu, Lingli
;
Xia, Xumei
;
Zhou, Kiajun
;
Zhao, Lijun
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/13
feature extraction
image recognition
affine transforms
object recognition
face recognition
edge detection
valuable technology
image recognition
bio-visual mechanism
object recognition method
fusion feature framework
geometry descriptor
double biologically inspired transformation
shape feature
interest detector
contour features
area estimation
affine region detector
area ratio feature vectors
orientation edge detector
local space frequency detector
DBIT feature vectors
weighted fusion strategy
Pearson correlation distance
geometry feature
highly stable recognition accuracy
feature invariance
selectivity
affine invariant fusion feature extraction
affine transformation
viewing angle
distance variations
affine invariant feature extraction
Siamese Tracking from Single Point Initialization
期刊论文
SENSORS, 2019, 卷号: 19, 期号: 3, 页码: 1-17
作者:
Xu Z(徐峥)
;
Luo HB(罗海波)
;
Hui B(惠斌)
;
Chang Z(常铮)
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/03/30
object tracking
contour detection
Siamese network
deep learning
An overview of contour detection approaches
期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 656-672
作者:
Gong XY(宫新一)
;
Hu Su
;
De Xu
;
Zhengtao Zhang
;
Fei Shen
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2019/05/08
Contour Detection, Contour Salience, Gestalt Principle, Contour Grouping, Active Contour
Active contour model-based segmentation algorithm for medical robots recognition
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 卷号: 77, 期号: 9, 页码: 10485-10500
作者:
Li, Yujie
;
Li, Yun
;
Kim, Hyoungseop
;
Serikawa, Seiichi
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2018/12/21
Active Contour Model
Granularity Detection
Cancer Cell Recognition
A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System
期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2018, 卷号: 12, 期号: 12, 页码: 28
作者:
Kang, Xiaomei
;
Kong, Qingqun
;
Zeng, Yi
;
Xu, Bo
;
Ceng Y(曾毅)
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2018/05/08
Primary Visual System
Biological Mechanism
Contour Detection
Prior Filtering
Uniform Sampling
Sparse Coding
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