QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation
Scene Graph Generation (SGG) requires relational reasoning over objects and their interactions, but performance is often limited by severe long-tail predicate imbalance. Classical SGG models frequently rely on dataset statistics, leading to biased predictions toward frequent relations rather than fine-grained semantic predicates. Although existing debiasing strategies improve mean recall, predicate classification in current frameworks still often depends on large classical decision modules with high parameter cost. This work introduces a hybrid quantum predicate classifier for SGG by replacing the classical predicate head in Causal Feature Enhancement Network (CFEN) with a Quantum Predica...
| Authors | Prerana Ramkumar, Nouhaila Innan, Muhammad Shafique |
|---|---|
| Primary category | quant-ph |
| Published | 3 June 2026 |
| Last updated at source | 3 June 2026 |
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