| SpeaQ (without reweighting) |
- Recall@50
- 32.9
- Recall@100
- 36.0
- mean Recall @100
- 14.1
- R@100
- 36.0
- mR@100
- 14.1
- mR@50
- 11.8
|
Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection 2024-03-26 |
코드 1 |
| SpeaQ (with reweighting) |
- Recall@50
- 32.1
- Recall@100
- 35.5
- mean Recall @100
- 17.6
- R@100
- 35.5
- mR@100
- 17.6
- mR@50
- 15.1
|
Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection 2024-03-26 |
코드 1 |
| Causal-TDE |
- Recall@50
- 31.93
- mean Recall @20
- 6.9
|
Unbiased Scene Graph Generation from Biased Training 2020-02-27 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |
| SG-EBM |
- Recall@50
- 31.74
- mean Recall @20
- 7.1
|
Energy-Based Learning for Scene Graph Generation 2021-03-03 |
코드 1 |
| GPS-Net |
- Recall@50
- 28.9
|
GPS-Net: Graph Property Sensing Network for Scene Graph Generation 2020-03-29 |
코드 1 |
| LOGIN |
- Recall@50
- 28.2
- Recall@20
- 22.2
- Recall@100
- 31.4
|
Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions 2021-06-16 |
코드 1 |
| VCTree |
- Recall@50
- 27.9
|
Learning to Compose Dynamic Tree Structures for Visual Contexts 2018-12-05 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |
| NODIS |
- Recall@50
- 27.7
- Recall@20
- 21.6
|
NODIS: Neural Ordinary Differential Scene Understanding 2020-01-14 |
코드 1 |
| KERN |
- Recall@50
- 27.1
|
Knowledge-Embedded Routing Network for Scene Graph Generation 2019-03-08 |
코드 1 · 코드 2 · 코드 3 |
| DLFE |
- Recall@50
- 25.4
|
Recovering the Unbiased Scene Graphs from the Biased Ones 2021-07-05 |
코드 1 |
| IETrans |
- Recall@50
- 23.5
- Recall@100
- 27.2
- mean Recall @100
- 18.0
|
Fine-Grained Scene Graph Generation with Data Transfer 2022-03-22 |
코드 1 · 코드 2 |
| ADTrans |
- Recall@50
- 23.0
- mean Recall @20
- 12.3
- mean Recall @100
- 19.2
- mR@100
- 19.2
- mR@50
- 15.8
|
Panoptic Scene Graph Generation with Semantics-Prototype Learning 2023-07-28 |
코드 1 |
| Graph-RCNN |
- Recall@50
- 11.4
|
Graph R-CNN for Scene Graph Generation 2018-08-01 |
코드 1 · 코드 2 · 코드 3 |
| MSDN |
- Recall@50
- 10.72
|
Scene Graph Generation from Objects, Phrases and Region Captions 2017-07-31 |
코드 1 |
| C-bias |
- mean Recall @20
- 11.63
- mean Recall @100
- 17.24
|
Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generation 2022-03-17 |
코드 1 |
| CogTree |
- mean Recall @20
- 7.9
|
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation 2020-09-16 |
코드 1 |
| ExpressiveSGG |
- R@100
- 39.12
|
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and Reasoning 2022-05-31 |
코드 1 |
| NeuSyRE |
- R@100
- 39.1
- mR@100
- 12.6
- mR@50
- 10.9
|
NeuSyRE: Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment 2023-11-05 |
코드 1 |
| KnowZRel |
- zR@20
- 14.22
- zR@50
- 25.43
- zR@100
- 35.65
|
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph Generation 2025-02-21 |
코드 1 |