Research map / Detection and segmentation / Open-set and few-shot detection
Spatial-Aware Graph Relation Network for Large-Scale Object Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add SGRN to FPN | FPN · VG1000 | AP: 7.1 -> 8.1 | Helped |
| Add SGRN to FPN | FPN · VG3000 | AP: 3.4 -> 4.5 | Helped |
| Add SGRN to FPN | FPN · ADE | AP: 10.9 -> 14.0 | Helped |
| Add SGRN to FPN | FPN · MSCOCO minival | mAP: 38.3 -> 41.7 | Helped |
| Add graph convolution over visual embeddings (ablation) | FPN on ADE · ADE | AP: 10.9 -> 12.8 | Helped |
| Add sparse connections to the visual-embedding graph (ablation) | FPN with visual-embedding GCN on ADE · ADE | AP: 12.8 -> 13.1 | Helped |
| Add spatial Gaussian kernels to the sparse graph (ablation) | FPN with sparse visual-embedding GCN on ADE · ADE | AP: 13.1 -> 13.6 | Helped |
| Use soft mapping instead of hard mapping in the sparse visual-embedding GCN (ablation) | FPN on ADE · ADE | AP: 10.9 -> 13.4 | Helped |
| Add soft mapping to the sparse spatial-GCN configuration (ablation) | FPN on ADE · ADE | AP: 13.7 -> 14.0 | Helped |
Closest papers by meaning
- Attentive Relational Networks for Mapping Images to Scene Graphs (CVPR 2019 · similarity 0.89)
- EGTR: Extracting Graph from Transformer for Scene Graph Generation (CVPR 2024 · similarity 0.89)
- DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation (CVPR 2024 · similarity 0.88)
- Graph-Based High-Order Relation Discovery for Fine-Grained Recognition (CVPR 2021 · similarity 0.88)
- Hybrid Knowledge Routed Modules for Large-scale Object Detection (NeurIPS 2018 · similarity 0.88)
- Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction (NeurIPS 2025 · similarity 0.87)
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