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DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use DS* instead of DS++ for image arrangement | DS* · Random colours, 8×8 to 64×64 grids | mean objective: 0.211 -> 0.196; 0.242 -> 0.236; 0.245 -> 0.235; 0.249 -> 0.244 | Helped |
| Use DS* instead of DS++ for image arrangement | DS* · Face images, 8×8 to 42×42 grids | mean objective: 0.279 -> 0.266; 0.305 -> 0.300; 0.336 -> 0.324; 0.360 -> 0.344 | Helped |
| Use DS* instead of DS++ for image arrangement | DS* · COCO, 8×8 grid | mean objective: 0.256 -> 0.244 | Helped |
| Use DS* instead of DS++ for image arrangement | DS* · COCO, 16×16 and 32×32 grids | mean objective: 0.238 -> 0.238; 0.274 -> 0.274 | No clear effect |
| Use DS* instead of DS++ for image arrangement | DS* · COCO, 40×40 grid | mean objective: 0.291 -> 0.292 | Hurt |
| Use DS* rather than DS++ (ablation) | Lifting-free convex relaxation · Synthetic quadratic matching problems | lower bound | Helped |
| Use DS* rather than DS++ (ablation) | Lifting-free convex relaxation · Synthetic quadratic matching problems | upper bound | Helped |
Closest papers by meaning
- A Convex Relaxation for Multi-Graph Matching (CVPR 2019 · similarity 0.88)
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- OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation (NeurIPS 2024 · similarity 0.85)
- FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing (NeurIPS 2025 · similarity 0.85)
- Differentiable Quadratic Optimization For the Maximum Independent Set Problem (ICML 2025 · similarity 0.85)
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