Scene Graph Generation

A scene graph is a structured representation of an image, where nodes in a scene graph correspond to object bounding boxes with their object categories, and edges correspond to their pairwise relationships between objects. The task of Scene Graph Generation is to generate a visually-grounded scene graph that most accurately correlates with an image.

Source: Scene Graph Generation by Iterative Message Passing

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–60 of 318 papers

Title	Date	Tasks	Status	Hype
Ensemble Predicate Decoding for Unbiased Scene Graph Generation	Aug 26, 2024	Graph GenerationScene Graph Generation	—Unverified	0
Towards Flexible Visual Relationship Segmentation	Aug 15, 2024	Graph GenerationHuman-Object Interaction Detection	—Unverified	0
Voxel Scene Graph for Intracranial Hemorrhage	Jul 31, 2024	Decision MakingGraph Generation	CodeCode Available	0
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction	Jul 29, 2024	DisentanglementGraph Generation	—Unverified	0
Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction	Jul 27, 2024	Generative Adversarial NetworkGraph Generation	CodeCode Available	0
BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation	Jul 26, 2024	Graph GenerationScene Graph Generation	—Unverified	0
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation	Jul 22, 2024	DiversityGraph Generation	CodeCode Available	1
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models	Jul 15, 2024	Graph Generationobject-detection	CodeCode Available	1
A Fair Ranking and New Model for Panoptic Scene Graph Generation	Jul 12, 2024	Graph GenerationPanoptic Scene Graph Generation	CodeCode Available	1
From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation	Jul 12, 2024	Graph GenerationKnowledge Distillation	—Unverified	0

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All datasets Visual Genome 4D-OR 3R-Scan VRD GQA MM-OR MS-COCO

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ExpressiveSGG	R@100	39.12	—	Unverified
2	NeuSyRE	R@100	39.1	—	Unverified
3	KnowZRel	zR@100	35.65	—	Unverified
4	SpeaQ (without reweighting)	Recall@50	32.9	—	Unverified
5	SpeaQ (with reweighting)	Recall@50	32.1	—	Unverified
6	Causal-TDE	Recall@50	31.93	—	Unverified
7	SG-EBM	Recall@50	31.74	—	Unverified
8	GPS-Net	Recall@50	28.9	—	Unverified
9	LOGIN	Recall@50	28.2	—	Unverified
10	VCTree	Recall@50	27.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ORacle	F1	0.91	—	Unverified
2	MM2SG	F1	0.9	—	Unverified
3	Pix2SG	F1	0.9	—	Unverified
4	LABRAD-OR	F1	0.88	—	Unverified
5	4D-OR baseline	F1	0.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SceneGraphFusion	Top-5 Accuracy	0.87	—	Unverified
2	3DSSG [Wald2020_3dssg]	Top-5 Accuracy	0.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FactorizableNet	Recall@50	18.32	—	Unverified
2	VRD	Recall@50	18.16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	KnowZRel	zR@100	29.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MM2SG	Macro F1	0.53	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NeuSyRE	R@100	38.5	—	Unverified