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A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add symbolic reasoning with learned logic-rule weights to LS-VRU | LS-VRU on VRD relationship detection · VRD ReD Recall@50 (free k) | Recall@50: 27.0 -> 29.4 | Helped |
| Add symbolic reasoning with learned logic-rule weights to LS-VRU | LS-VRU on VRD phrase detection · VRD PhD Recall@50 (free k) | Recall@50: 23.7 -> 26.2 | Helped |
| Add BPGR neural-symbolic reasoning | VRD ReD · VRD ReD Recall@50 (free k) | Recall@50: 27.4 -> 29.4 | Helped |
| Add BPGR neural-symbolic reasoning | VRD PhD · VRD PhD Recall@100 (free k) | Recall@100: 29.7 -> 29.4 | Hurt |
| Add BPGR neural-symbolic reasoning | GPS-Net on VG200 SGCLS · VG200 SGCLS Recall@50 | Recall@50: 39.2 -> 39.3 | Helped |
| Add BPGR neural-symbolic reasoning | LS-VRU on VG200 PCLS · VG200 PCLS Recall@50 | Recall@50: 68.4 -> 69.1 | Helped |
| Add the symbolic reasoning module (ablation) | BPGR on VRD ReD · VRD ReD Recall@50 (free k) | Recall@50: 27.0 -> 29.4 | Helped |
| Add the symbolic reasoning module (ablation) | BPGR on VRD PhD · VRD PhD Recall@50 (free k) | Recall@50: 23.7 -> 26.2 | Helped |
| Use the full visual reasoning module rather than a reduced proportion (ablation) | BPGR on VRD ReD · VRD ReD Recall@50 (free k) | Recall@50: 28.3 -> 29.4 | Helped |
| Use the full visual reasoning module rather than a reduced proportion (ablation) | BPGR on VRD PhD · VRD PhD Recall@50 (free k) | Recall@50: 25.3 -> 26.2 | Helped |
| Add cross-entropy loss for observed variables (ablation) | BPGR on VRD ReD · VRD ReD Recall@50 (free k) | Recall@50: 28.8 -> 29.4 | Helped |
| Add cross-entropy loss for observed variables (ablation) | BPGR on VRD PhD · VRD PhD Recall@50 (free k) | Recall@50: 25.4 -> 26.2 | Helped |
Closest papers by meaning
- Visual Relation Detection using Hybrid Analogical Learning (AAAI 2021 · similarity 0.86)
- An Explicitly Relational Neural Network Architecture (ICML 2020 · similarity 0.86)
- Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering (ICML 2019 · similarity 0.86)
- Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection (CVPR 2024 · similarity 0.86)
- Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models (AAAI 2026 · similarity 0.85)
- VGR: Visual Grounded Reasoning (ICLR 2026 · similarity 0.84)
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