Difference between OutputMaps and FixationMaps

[hiteshnitetc]

I want to train this SalGAN network on my own dataset. I have the original images and the ground-truth images (no fixation maps). What I have presumed is that in Train section of 01-data_preprocessing.py script, pathOutputImages will have path to the original images and pathOutputMaps will have path to ground-truth images. Is my assumption correct?

I am also confused in what I should give as input to pathToFixationMaps in the same script. Is it necessary to give all three parameters (pathOutputImages, pathOutputMaps and pathToFixationMaps) for the training purpose. Can I train this network without fixation maps?

[junting]

Hi @hiteshnitetc

Sure, of course, you can. SalGAN is trained with images and ground truth saliency maps. The part about fixation map is something extra that we added later for other proposes. I will remove since they were not used for the training/testing.

Best,