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Research map / Detection and segmentation / CNN features

Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration

AAAI 2023 · Detection and segmentation › CNN features · approach: Forgery detection · 11 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use SDNet instead of the strongest registration baseline, VoxelMorphstroke registration · CCSEDBmDis: 5.352 -> 4.469Helped
Use SDNet instead of the strongest registration baseline, VoxelMorphstroke registration · CCSEDBmBIou: 0.609 -> 0.637Helped
Use SDNet instead of the strongest registration baseline, VoxelMorphstroke registration · RHSEDBmDis: 7.531 -> 5.553Helped
Use SDNet instead of the strongest registration baseline, VoxelMorphstroke registration · RHSEDBmBIou: 0.527 -> 0.614Helped
Use the proposed stroke extraction pipeline instead of PathMatchNetChinese character stroke extraction · CCSEDBmIOU_m: 0.692 -> 0.924Helped
Use the proposed stroke extraction pipeline instead of PathMatchNetChinese character stroke extraction · CCSEDBmIOU_um: 0.842 -> 0.926Helped
Use the proposed stroke extraction pipeline instead of PathMatchNetChinese character stroke extraction · RHSEDBmIOU_m: 0.654 -> 0.917Helped
Use the proposed stroke extraction pipeline instead of PathMatchNetChinese character stroke extraction · RHSEDBmIOU_um: 0.815 -> 0.93Helped
Add prior information to SegNet (ablation)SegNet · CCSEDBmIOU: 0.735 -> 0.917Helped
Add prior information to SegNet (ablation)SegNet · RHSEDBmIOU: 0.768 -> 0.908Helped
Add prior information to ExtractNet (ablation)ExtractNet · CCSEDBmIOU_m: 0.567 -> 0.924Helped
Add prior information to ExtractNet (ablation)ExtractNet · RHSEDBmIOU_m: 0.556 -> 0.917Helped

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