SSL92 / hyperIQA

Source code for the CVPR'20 paper "Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network"
MIT License
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The reproduced result is not consistent with your paper. Is there any problem ? #23

Open yongZheng1723 opened 3 years ago

yongZheng1723 commented 3 years ago

I used the train_test_IQA.py training CLIVE data set as you suggested, but the result was not the same as what you showed in your paper. The parameters were set according to the default value of the code you gave, such as EPOchs =16, etc. May I ask if you have taken the highest value of the training model for many times in your paper? Could you please explain my doubts?

SuperBruceJia commented 3 years ago

+1