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Research map / Detection and segmentation / CNN features

Deeply Shape-Guided Cascade for Instance Segmentation

CVPR 2021 · Detection and segmentation › CNN features · approach: Boundary-aware instance segmentation · 25 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add initial, explicit, and implicit shape guidance to the cascadeHTC · COCO 2017 val, ResNet-50 FPNbox AP: 43.3 -> 45.8Helped
Add initial, explicit, and implicit shape guidance to the cascadeHTC · COCO 2017 val, ResNet-50 FPNmask AP: 38.3 -> 40.2Helped
Add shape-guided cascade components using the same backbone and training strategyHTC (multi-scale training) · COCO test-dev, ResNeXt-101-64x4d DCN FPNbox AP: 50.8 -> 51.8Helped
Add shape-guided cascade components using the same backbone and training strategyHTC (multi-scale training) · COCO test-dev, ResNeXt-101-64x4d DCN FPNmask AP: 44.2 -> 45.5Helped
Reduce intermediate mask feature resolution to 7×7 (ablation)DSC · COCO valbox AP: 44.8 -> 44.5Hurt
Reduce intermediate mask feature resolution to 7×7 (ablation)DSC · COCO valmask AP: 39.5 -> 39.4Hurt
Add explicit shape guidance through shape-guided RoIAlign (ablation)F-DSC · COCO valbox AP: 44.2 -> 44.5Helped
Add explicit shape guidance through shape-guided RoIAlign (ablation)F-DSC · COCO valmask AP: 39.1 -> 39.5Helped
Add implicit shape guidance through feature fusion (ablation)F-DSC · COCO valbox AP: 43.4 -> 44.5Helped
Add implicit shape guidance through feature fusion (ablation)F-DSC · COCO valmask AP: 38.8 -> 39.5Helped
Retain the +1 term in shape-guided RoIAlign (ablation)F-DSC · COCO valbox AP: 44.3 -> 44.5Helped
Retain the +1 term in shape-guided RoIAlign (ablation)F-DSC · COCO valmask AP: 39.3 -> 39.5Helped

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