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"SCNet: Learning Semantic Correspondence" by Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce (ICCV 2017)

Home Page: https://www.di.ens.fr/willow/research/scnet/

MATLAB 95.11% C++ 4.70% M 0.19%

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scnet's Issues

about data prepare for training

Hi Kai Han,
Thanks for sharing the code. I am trying to train the model using the code you provided, but it seems that some file is missing.
Is 'PF-PASCAL-RP-500.mat' the region proposals you extracted on the PF-PASCAL dataset beforehand? Could you please give more details to prepare the data for training?
Thanks!

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