Research map / Detection and segmentation / Open-set and few-shot detection
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace cross-entropy with semantic ranking loss (ablation) | MR-Net baseline · VG predicate detection | Recall@50: 61.78 -> 62.59 | Helped |
| Add mutual relation learning (siamese mutual constraint) to semantic ranking (ablation) | MR-Net · VG predicate detection | Recall@50: 62.59 -> 65.27 | Helped |
| Add mutual constraint to DR-Net (with box augmentation) | DR-Net · VRD predicate detection | Recall@50: 78.21 -> 80.28 | Helped |
| Add mutual constraint to DR-Net | DR-Net · VRD relationship detection | Recall@50: 16.06 -> 16.27 | No clear effect |
| Random box shift/scale augmentation on DR-Net (ablation) | DR-Net · VRD predicate detection | Recall@50: 77.73 -> 78.21 (R@50); 79.84 -> 79.76 (R@100) | Mixed |
| MR-Net vs Context-Aware on VRD relationship detection | MR-Net · VRD relationship detection | Recall@100: 17.39 -> 17.58 | Helped |
Closest papers by meaning
- Visual Relationship Detection With Deep Structural Ranking (AAAI 2018 · similarity 0.90)
- Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection (AAAI 2020 · similarity 0.90)
- Detecting Visual Relationships With Deep Relational Networks (CVPR 2017 · similarity 0.90)
- Tensorize, Factorize and Regularize: Robust Visual Relationship Learning (CVPR 2018 · similarity 0.90)
- Relationship Proposal Networks (CVPR 2017 · similarity 0.89)
- Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection (CVPR 2024 · similarity 0.87)
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