Research map / Detection and segmentation / Open-set and few-shot detection
A New Finsler Minimal Path Model With Curvature Penalization for Image Segmentation and Closed Contour Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Increase λ in the proposed metric (ablation) | Fast marching with the proposed Finsler metric · Synthetic image, 300² × 108 grid | CPU time (seconds): 15.5 (λ=1); 34.7 (λ=300) | Hurt |
| Increase λ in the proposed metric (ablation) | AGSI with the proposed Finsler metric · Synthetic image, 120² × 43 grid | Average Hopf-Lax updates per grid point: 3 (λ=1); 349 (λ=1024) | Hurt |
| Add curvature penalization using the orientation-lifted asymmetric Finsler metric | Minimal-path contour detection · Weizmann data set and nature images | Contour smoothness and avoidance of shortcuts | Helped |
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