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Learnable Histogram: Statistical Context Features for Deep Neural
  Networks

Learnable Histogram: Statistical Context Features for Deep Neural Networks

25 April 2018
Zhe Wang
Hongsheng Li
Wanli Ouyang
Xiaogang Wang
ArXivPDFHTML

Papers citing "Learnable Histogram: Statistical Context Features for Deep Neural Networks"

5 / 5 papers shown
Title
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Kiarash Zahirnia
Oliver Schulte
Parmis Naddaf
Ke Li
29
10
0
30 Oct 2022
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging
  with Limited Angular Density
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density
Marion Savanier
Émilie Chouzenoux
J. Pesquet
C. Riddell
24
16
0
27 Sep 2022
Learning Statistical Texture for Semantic Segmentation
Learning Statistical Texture for Semantic Segmentation
Lanyun Zhu
Deyi Ji
Shiping Zhu
Weihao Gan
Wei Wu
Junjie Yan
25
123
0
06 Mar 2021
Histogram Layers for Texture Analysis
Histogram Layers for Texture Analysis
Joshua Peeples
Weihuang Xu
A. Zare
19
49
0
01 Jan 2020
Harmonic Unpaired Image-to-image Translation
Harmonic Unpaired Image-to-image Translation
Rui Zhang
Tomas Pfister
Jia Li
GAN
10
48
0
26 Feb 2019
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