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自动化研究所 [4]
北京航空航天大学 [1]
长春光学精密机械与物... [1]
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会议论文 [8]
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2021 [4]
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2006 [1]
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Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
会议论文
Shenzhen, China, 2021-6
作者:
Deng, Shuang
;
Liu, Bo
;
Dong, Qiulei
;
Hu, Zhanyi
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  |  
浏览/下载:50/0
  |  
提交时间:2022/09/21
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
会议论文
Online, 2021-6-19
作者:
Fan, Siqi
;
Dong, Qiulei
;
Zhu, Fenghua
;
Lv, Yisheng
;
Ye, Peijun
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  |  
浏览/下载:13/0
  |  
提交时间:2022/06/16
A Deformable Convolutional Neural Network with Oriented Response for Fine-Grained Visual Classification
会议论文
Virtual, Online, China, 2021-02-26
作者:
Ruan, Shangxian
;
Yang, Jiating
;
Chen, Jianbo
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  |  
浏览/下载:27/0
  |  
提交时间:2021/07/20
Fine-grained visual classification
Deformable convolution
Oriented response
Weakly supervised
Proxy Graph Matching with Proximal Matching Networks
会议论文
线上远程会议, 2021-2-7
作者:
Tan HR(檀昊儒)
;
Wang C(王闯)
;
Wu ST(吴思彤)
;
Wang TQ(王铁强)
;
Zhang XY(张煦尧)
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  |  
浏览/下载:43/0
  |  
提交时间:2021/07/01
Graph Matching
Combinatorial Optimization
Deep Learning
Rotaion and Scale-invariant Object Detector for High Resolution Optical Remote Sensing Images
会议论文
日本横滨, 2019年7月29日-2019年8月2日
作者:
Huang H(黄河)
;
Huo CL(霍春雷)
;
Wei FL(魏飞龙)
;
Pan CH(潘春洪)
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  |  
浏览/下载:61/0
  |  
提交时间:2019/06/24
Rotation-invariant
Scale-invariant
Convolutional Neural Network
Optical Remote Sensing
Object Detection
Fast and light manifold CNN based 3D facial expression recognition across pose variations
会议论文
MM 2018 - Proceedings of the 2018 ACM Multimedia Conference
作者:
Chen, Z.
;
Wang, Y.
;
Huang, D.
;
Chen, L.
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  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Deep learning
Gesture recognition
Neural networks
Trees (mathematics)
3-D facial expression recognition
Convolutional neural network
Encoding strategy
Geometry representation
Pre-processing method
Rotation invariance
Rotation invariant
Shape characteristics
Face recognition
An object recognition method based on fuzzy theory and BP networks (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Chuan W.
;
Ming Z.
;
Dong Y.
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浏览/下载:14/0
  |  
提交时间:2013/03/25
It is difficult to choose eigenvectors when neural network recognizes object. It is possible that the different object eigenvectors is similar or the same object eigenvectors is different under scaling
shifting
rotation if eigenvectors can not be chosen appropriately. In order to solve this problem
the image is edged
the membership function is reconstructed and a new threshold segmentation method based on fuzzy theory is proposed to get the binary image. Moment invariant of binary image is extracted and normalized. Some time moment invariant is too small to calculate effectively so logarithm of moment invariant is taken as input eigenvectors of BP network. The experimental results demonstrate that the proposed approach could recognize the object effectively
correctly and quickly.
Is local dominant orientation necessary for the classification of rotation invariant texture? (CPCI-S收录)
会议论文
NEUROCOMPUTING
作者:
Guo, Zhenhua[1]
;
Li, Qin[2]
;
Zhang, Lin[3]
;
You, Jane[4]
;
Zhang, David[4]
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  |  
浏览/下载:1/0
  |  
提交时间:2019/04/15
Texture classification
MR8
Image patch
Texton
Rotation invariance
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