Run your model to compute predictions for each model
Save the predictions to .mat, .npy, .jpg or .png files of the same size and name as the original image. If your model is probabilistic, save the log density predictions. Please save them as a zip or tar folder with the name of your model as the folder name. Alternatively you can use pysaliency's "export_to_hdf5" function.
Submit your maps to firstname.lastname@example.org. Please mention whether your model is a probabilistic model predicting fixation densities, or a classic saliency map model.
We post your score and model details on this page
Let us know if you have a publication, website, or publicly available code for your model that we can link to your score in results table.