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An implementation for Learn-To-Diffuse : A New Perspective to Design PDE System for Visual Analysis

MATLAB 56.56% M 0.57% C++ 8.90% Makefile 1.11% C 32.87%

learn-to-diffuse's Introduction

Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis


Matlab codes for our paper Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis.

How to start


You can directly try script_LTD_segment.m to check the LTD segmentation results.

Hardware/software requirements


0 The codes are tested in Windows 7 (we use the Windows command line based executable for superpixel generation)

1 Matlab 2013b or later

Citation


Please cite our paper if you find our codes are useful.

[1] Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan and Zhongxuan Luo. Learning to Diffuse (LTD): A New Perspective to Design PDEs, accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016.

Citation information: DOI 10.1109/TPAMI.2016.2522415, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Note that this paper has been accepted for publication in a future issue of PAMI, but has not been fully edited.

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