cdoersch / deepcontext Goto Github PK
View Code? Open in Web Editor NEWAuthor's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'
Home Page: http://graphics.cs.cmu.edu/projects/deepContext/
License: MIT License
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jizhihang shinexunju caomw hyojinie vincentzhang ilovecv ericustc kli-casia wanjinchang ml-lab benjamesbabala silasxue lemonsakura jizexuan mihaibujanca mrgloom ginym cv-ip miguelbautista zhixinshu mutual-ai afcentry codeaudit h312h haofusheng nashory anilbatra2185 shshim0513 pinglmlcv intmmsp jryongithub klqulei aarsanjani nadiiach kristinakupf anant-joshi ningxili moses9591 zahidcseku albertipot yuboge cualquiercosa327deepcontext's Issues
Gaussian vs Uniform Noise in Color Dropping
Dear Dr. Carl Doersch,
Thank you for sharing the code. It seems that you have used uniform noise for color dropping in the code (train.py line 105). However, your paper states that Gaussian noise ~N(0, max(remained channel) / 100) was used. Thus, does the noise distribution affect the final performance?
Thank you!
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