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Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection

CVPR 2019 · Detection and segmentation › CNN features · approach: RGB-D salient object detection · 444 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use CPFP instead of PCFRGBD salient object detection · SSB1000mean F-measure: 0.818 -> 0.842Helped
Use CPFP instead of PCFRGBD salient object detection · NJU2000mean F-measure: 0.840 -> 0.850Helped
Use CPFP instead of PCFRGBD salient object detection · LFSDmean F-measure: 0.761 -> 0.811Helped
Use CPFP instead of PCFRGBD salient object detection · RGBD135mean F-measure: 0.765 -> 0.815Helped
Use CPFP instead of PCFRGBD salient object detection · NLPRmean F-measure: 0.809 -> 0.840Helped
Add a contrast-enhanced net for depth information (ablation)VGG-16 RGBD detector · NJU2000mean F-measure: 0.714 -> 0.756Helped
Use the original depth map directly instead of contrast-enhancing it (ablation)VGG-16 RGBD detector · NJU2000mean F-measure: 0.714 -> 0.708Hurt
Add fluid pyramid integration to the contrast-enhanced model (ablation)VGG-16 RGBD detector · NJU2000mean F-measure: 0.756 -> 0.851Helped
Replace fluid pyramid integration with direct multi-scale fusion (ablation)VGG-16 RGBD detector with contrast enhancement · NJU2000mean F-measure: 0.851 -> 0.748Hurt
Replace fluid pyramid integration with traditional pyramid fusion (ablation)VGG-16 RGBD detector with contrast enhancement · NJU2000mean F-measure: 0.851 -> 0.789Hurt
Use original depth rather than contrast enhancement while retaining fluid pyramid integration (ablation)VGG-16 RGBD detector · NJU2000mean F-measure: 0.783 -> 0.851Hurt
Add fluid pyramid integration without the contrast-enhanced net (ablation)VGG-16 RGBD detector · NJU2000mean F-measure: 0.714 -> 0.758Helped

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