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Locate Globally, Segment Locally: A Progressive Architecture With Knowledge Review Network for Salient Object Detection

AAAI 2021 · Detection and segmentation › CNN features · approach: RGB-D salient object detection · 180 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use PA-KRN instead of the strongest listed baselineSOD models · DUT-OMRONFmax: 0.821 -> 0.834Helped
Use PA-KRN instead of the strongest listed baselineSOD models · DUTS-TEFmax: 0.889 -> 0.907Helped
Add the KR module to FPN (ablation)ResNet-50 FPN · DUTS-TEFmax: 0.871 -> 0.884Helped
Add the KR module to FPN (ablation)ResNet-50 FPN · DUT-OMRONFmax: 0.799 -> 0.818Helped
Add the SA module to FPN (ablation)ResNet-50 FPN · DUTS-TEFmax: 0.871 -> 0.887Helped
Add the SA module to FPN (ablation)ResNet-50 FPN · DUT-OMRONFmax: 0.799 -> 0.822Helped
Add intermediate edge supervision to KRN (ablation)FPN with KR and SA · DUTS-TEFmax: 0.895 -> 0.898Helped
Add intermediate edge supervision to KRN (ablation)FPN with KR and SA · DUT-OMRONFmax: 0.827 -> 0.827No clear effect
Add the progressive architecture (ablation)KRN · DUTS-TEFmax: 0.898 -> 0.907Helped
Add the progressive architecture (ablation)KRN · DUT-OMRONFmax: 0.827 -> 0.834Helped
Set the body-attention label kernel size to fixed 15 instead of 25 (ablation)PA-KRN · DUTS-TEFmax: 0.907 -> 0.904Hurt
Set the body-attention label kernel size to fixed 35 instead of 25 (ablation)PA-KRN · DUTS-TEFmax: 0.907 -> 0.902Hurt

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