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Beyond Gradient Descent for Regularized Segmentation Losses

CVPR 2019 · Optimization › Implicit bias and generalization · approach: Stability-based generalization analysis · 31 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add ADM with α-expansion to optimize the grid CRF loss instead of using GD (ablation)Weakly supervised segmentation with Deeplab-largeFOV · PASCAL VOC 2012 valmIOU: 60.4 -> 61.7Helped
Add ADM with α-expansion to optimize the grid CRF loss instead of using GD (ablation)Weakly supervised segmentation with Deeplab-MSc-largeFOV · PASCAL VOC 2012 valmIOU: 61.2 -> 62.9Helped
Add ADM with α-expansion to optimize the grid CRF loss instead of using GD (ablation)Weakly supervised segmentation with Deeplab-VGG16 · PASCAL VOC 2012 valmIOU: 63.3 -> 65.2Helped
Add ADM with α-expansion to optimize the grid CRF loss instead of using GD (ablation)Weakly supervised segmentation with ResNet-101 · PASCAL VOC 2012 valmIOU: 71.7 -> 72.8Helped
Add ADM with α-expansion to optimize the grid CRF loss instead of using GD (ablation)Grid CRF loss minimization with Deeplab-LargeFOV · PASCAL VOC 2012 training setgrid CRF loss: 2.52 -> 2.41Helped
Add ADM with α-expansion to optimize the grid CRF loss instead of using GD (ablation)Grid CRF loss minimization with Deeplab-LargeFOV · PASCAL VOC 2012 validation setgrid CRF loss: 2.51 -> 2.33Helped
Use grid CRF + ADM instead of dense CRF + GDWeakly supervised segmentation with Deeplab-VGG16 · PASCAL VOC 2012 valmIOU: 64.4 -> 65.2Helped
Use grid CRF + ADM instead of dense CRF + GDWeakly supervised segmentation with ResNet-101 · PASCAL VOC 2012 valmIOU: 72.9 -> 72.8Hurt
Use ADM with grid CRF rather than GD with grid CRF (ablation)Weakly supervised segmentation with Deeplab-MSc-largeFOV · PASCAL VOC 2012 val, pixels within 16 pixels of boundariespixel-wise accuracy: 74.8 -> 76.7Helped
Use ADM with grid CRF rather than GD with grid CRF (ablation)Weakly supervised segmentation with Deeplab-MSc-largeFOV · PASCAL VOC 2012 val, pixels within 8 pixels of boundariespixel-wise accuracy: 68.4 -> 71.4Helped

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