Research map / Graph learning / Graph self-supervised learning
JoinABLe: Learning Bottom-Up Assembly of Parametric CAD Joints
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add pose search over the top 50 axis predictions for offset, rotation, and flip (ablation) | JoinABLe · Joint pose prediction test set (All) | Chamfer distance: 0.0627 -> 0.0580 | Helped |
| Add pose search over the top 50 axis predictions for offset, rotation, and flip (ablation) | JoinABLe · Joint pose prediction test set (Hole) | Chamfer distance: 0.0624 -> 0.0570 | Helped |
| Add pose search over the top 50 axis predictions for offset, rotation, and flip (ablation) | JoinABLe · Joint pose prediction test set (No Hole) | Chamfer distance: 0.0657 -> 0.0628 | Helped |
| Use JoinABLe instead of the B-Heuristic rule-based method | Joint axis prediction · Joint axis prediction test set (All) | accuracy: 71.39 -> 79.53 | Helped |
| Use JoinABLe instead of the B-Heuristic rule-based method | Joint axis prediction · Joint axis prediction test set (No Hole) | accuracy: 64.97 -> 76.59 | Helped |
| Use JoinABLe instead of the B-Pose regression baseline | Joint pose prediction · Joint pose prediction test set (All) | Chamfer distance: 0.0700 -> 0.0627 | Helped |
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