Research map / Detection and segmentation / Open-set and few-shot detection
One-Shot Learning for Long-Tail Visual Relation Detection
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add feature-level attention network (ablation) | dual graph one-shot model · VRD-One PredCls 5-way 1-shot | accuracy: 45.7% -> 48.4% | Helped |
| add feature-level attention network (ablation) | dual graph one-shot model · VRD-One SGCls 5-way 1-shot | accuracy: 21.6% -> 22.3% | Helped |
| add object graph (ablation) | dual graph one-shot model · VRD-One SGCls 5-way 1-shot | accuracy: 20.4% -> 22.3% | Helped |
| add object graph (ablation) | dual graph one-shot model · VRD-One PredCls 5-way 1-shot | accuracy: 47.3% -> 48.4% | Helped |
| add message passing network between graphs (ablation) | dual graph one-shot model · VRD-One SGCls 5-way 1-shot | accuracy: 21.8% -> 22.3% | Helped |
| add message passing network between graphs (ablation) | dual graph one-shot model · VRD-One PredCls 5-way 1-shot | accuracy: 47.2% -> 48.4% | Helped |
| remove statistical (frequency) information from RelDN | RelDN · VRD-One PredCls 5-way 1-shot | accuracy: 40.1% -> 40.6% | Helped |
| use dual graph one-shot model instead of RelDN baseline | visual relation detection · VG-One PredCls 5-way 1-shot | accuracy: 44.1% -> 56.3% | Helped |
Closest papers by meaning
- Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection (AAAI 2020 · similarity 0.90)
- Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models (NeurIPS 2023 · similarity 0.90)
- Tensorize, Factorize and Regularize: Robust Visual Relationship Learning (CVPR 2018 · similarity 0.89)
- Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection (CVPR 2021 · similarity 0.89)
- EGTR: Extracting Graph from Transformer for Scene Graph Generation (CVPR 2024 · similarity 0.87)
- Leveraging Predicate and Triplet Learning for Scene Graph Generation (CVPR 2024 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.