From: Stereoscopic visual saliency prediction based on stereo contrast and stereo focus
Model | AUC(→1) | CC(→1) | |
---|---|---|---|
2D model | IT | 0.538 | 0.137 |
AIM | 0.638 | 0.326 | |
SR | 0.63 | 0.291 | |
GBVS | 0.809 | 0.54 | |
2D × depth (Chamaret) | IT × depth | 0.54 | 0.137 |
AIM × depth | 0.636 | 0.299 | |
SR × depth | 0.634 | 0.292 | |
GBVS × depth | 0.771 | 0.515 | |
2D + depth contrast | IT + depth contrast | 0.596 | 0.211 |
AIM + depth contrast | 0.644 | 0.343 | |
SR + depth contrast | 0.662 | 0.307 | |
GBVS + depth contrast | 0.799 | 0.53 | |
Bayesian integration | IT ⊕ depth contrast | 0.668 | 0.254 |
AIM ⊕ depth contrast | 0.713 | 0.336 | |
SR ⊕ depth contrast | 0.714 | 0.369 | |
GBVS ⊕ depth contrast | 0.787 | 0.511 | |
Center bias | CB(IT ⊕ depth contrast) | 0.798 | 0.547 |
CB(AIM ⊕ depth contrast) | 0.830 | 0.61 | |
CB(SR ⊕ depth contrast) | 0.844 | 0.629 | |
CB(GBVS ⊕ depth contrast) | 0.856 | 0.632 | |
2D + DSM | Model1 | 0.656 | 0.356 |
Model2 | 0.675 | 0.424 | |
Model3 | 0.67 | 0.41 | |
Stereo model [45] | CB (CNSP) | 0.79 | 0.48 |
CB (CNMC) | 0.78 | 0.63 | |
CB (GNLNS) | 0.77 | 0.65 | |
Our model | 0.881 | 0.656 |