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C++ implementation of the paper Salient Object Detection: A Discriminative Regional Feature Integration Approach

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drfi_cpp

C++ implementation of the paper Salient Object Detection: A Discriminative Regional Feature Integration Approach

This implementation is dependent on the OpenCV library. For Windows users, a Visual Studio 2010 solution is created. For Linux users, a naive Makefile is provided. Make sure that the OpenMP switch is turned on to achieve the best performance.

Before testing, you might want to download our pre-trained Random Forest model, which is available at http://jianghz.me/drfi/files/drfiModelCpp.zip. Put it under the same folder with generated binary DRFI file.

For more details, check out our technical report http://arxiv.org/pdf/1410.5926v1.

Tested on Windows 7 64bit with Visual Studio 2010 and Ubuntu 12.04 64bit with GCC 4.8.3.

Bugs, comments are welcome to hzjiang@cs.umass.edu.

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C++ implementation of the paper Salient Object Detection: A Discriminative Regional Feature Integration Approach

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