TABLE III.

Significance of the Ability of Proto-Object Saliency to Predict Eye Fixations and Subjective Interest Points Compared to the Ability of the Feature Based Methods. Also See Table AII in the Appendix for the Significance of the Noisy Results

		Fixation points		Interest points
Algorithm	Metric	sig- nificant?	p-value	sig- nificant?	p-value
Feature saliency	ROC	✓	< 10−9	✓	< 10−8
(Itti et al)	KLD	✓	< 10−9	✓	< 10−12
Feature saliency	ROC	✓	< 10−7	✓	< 10−16
(GBVS)	KLD	✓	< 10−2	✓	< 10−7
Feature saliency	ROC	✓	< 10−5	✓	< 10−5
(AWS)	KLD	✗	–	✗	–
Feature saliency	ROC	✗	–	✗	–
(Hou)	KLD	✗	–	✓	< 10−2