Research map / Graph learning / Graph self-supervised learning
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use sample-level graphs built from annotated key-points instead of detected key-points (ablation) | Graph-based ZSL · CUB-Birds ZSL | accuracy (%): 76.9 -> 78.7 | Helped |
| Use sample-level graphs built from annotated key-points instead of detected key-points (ablation) | Graph-based ZSL · NABirds ZSL | accuracy (%): 42.8 -> 44.2 | Helped |
| Use sample-level graphs built from annotated key-points instead of detected key-points (ablation) | Graph-based ZSL · CUB-Birds GZSL | harmonic mean (HM): 58.6 -> 60.3 | Helped |
| Use sample-level graphs built from annotated key-points instead of detected key-points (ablation) | Graph-based ZSL · NABirds GZSL | harmonic mean (HM): 43.0 -> 45.4 | Helped |
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