Research map / Image generation / Autoregressive and latent generation
Progressive Feature Matching With Alternate Descriptor Selection and Correspondence Enrichment
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add progressive correspondence enrichment (ablation) | Progressive Feature Matching · SNU | mAP (%): 76.75 -> 81.81 | Helped |
| Add progressive correspondence enrichment (ablation) | Progressive Feature Matching · SYM | mAP (%): 46.67 -> 49.35 | Helped |
| Add adaptive descriptor selection (ablation) | Progressive Feature Matching without enrichment · SNU | mAP (%): 73.16 -> 76.75 | Helped |
| Add adaptive descriptor selection (ablation) | Progressive Feature Matching with enrichment · SNU | mAP (%): 74.22 -> 81.81 | Helped |
| Add adaptive descriptor selection (ablation) | Progressive Feature Matching without enrichment · SYM | mAP (%): 42.99 -> 46.67 | Helped |
| Add adaptive descriptor selection (ablation) | Progressive Feature Matching with enrichment · SYM | mAP (%): 44.52 -> 49.35 | Helped |
| Alternate descriptor selection and correspondence enrichment instead of directly solving the joint objective (ablation) | Progressive Feature Matching · SNU and SYM | mAP (%): 81.61% and 48.34% (direct); 81.81% and 49.35% (alternate) | No clear effect |
| Use five complementary descriptors jointly rather than a single descriptor | Progressive Feature Matching · SNU and SYM | mAP (%) | Helped |
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