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Local Background Enclosure for RGB-D Salient Object Detection

CVPR 2016 · Detection and segmentation › CNN features · approach: RGB-D salient object detection · 231 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Local Background Enclosure instead of depth-contrast featuresRGB-D saliency detection · RGBD1000F-scoreHelped
Use Local Background Enclosure instead of depth-contrast featuresRGB-D saliency detection · NJUDS2000F-scoreHelped
Use Local Background Enclosure instead of RGB saliency methodsRGB-D saliency detection · RGBD1000F-scoreHelped
Use the depth distribution functions rather than density functions evaluated at a fixed threshold (ablation)Local Background Enclosure · RGBD1000 and NJUDS2000precision-recall performanceHelped
Add depth, spatial, and background priors (ablation)Local Background Enclosure · RGBD1000 and NJUDS2000precision-recall performanceHelped
Add Grabcut refinement (ablation)Local Background Enclosure with priors · RGBD1000 and NJUDS2000precision-recall performanceHelped
Exclude neighboring patches with lower depth from contrast computation (ablation)GP and LMH depth features · RGBD1000 and NJUDS2000precision-recall performanceHelped
Use Local Background Enclosure rather than depth-contrast featuresRGB-D saliency detection · RGBD1000 and NJUDS2000recallHelped

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