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Exploring Context with Deep Structured models for Semantic Segmentation

Exploring Context with Deep Structured models for Semantic Segmentation

10 March 2016
Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
    SSeg
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Papers citing "Exploring Context with Deep Structured models for Semantic Segmentation"

6 / 6 papers shown
Title
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Deyi Ji
Haoran Wang
Mingyuan Tao
Jianqiang Huang
Xiansheng Hua
Hongtao Lu
27
60
0
06 May 2023
On the Importance of Visual Context for Data Augmentation in Scene
  Understanding
On the Importance of Visual Context for Data Augmentation in Scene Understanding
Nikita Dvornik
Julien Mairal
Cordelia Schmid
17
84
0
06 Sep 2018
Deep Texture Manifold for Ground Terrain Recognition
Deep Texture Manifold for Ground Terrain Recognition
Jia Xue
Hang Zhang
Kristin J. Dana
CVBM
18
123
0
29 Mar 2018
Simultaneous Traffic Sign Detection and Boundary Estimation using
  Convolutional Neural Network
Simultaneous Traffic Sign Detection and Boundary Estimation using Convolutional Neural Network
Hee Seok Lee
Kang-jik Kim
6
128
0
27 Feb 2018
High-performance Semantic Segmentation Using Very Deep Fully
  Convolutional Networks
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks
Zifeng Wu
Chunhua Shen
A. Hengel
SSeg
9
130
0
15 Apr 2016
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
181
2,947
0
15 Dec 2014
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