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 141–150 of 318 papers

Title	Date	Tasks	Status
Dual ResGCN for Balanced Scene GraphGeneration	Nov 9, 2020	Graph GenerationRelation	—Unverified
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation	Aug 12, 2020	General ClassificationGraph Generation	—Unverified
HOIverse: A Synthetic Scene Graph Dataset With Human Object Interactions	Jun 24, 2025	Graph GenerationHuman-Object Interaction Detection	—Unverified
Dual Embodied-Symbolic Concept Representations for Deep Learning	Mar 1, 2022	class-incremental learningClass Incremental Learning	—Unverified
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding	Dec 5, 2023	DiversityGraph Generation	—Unverified
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments	Nov 20, 2020	Graph Generationreinforcement-learning	—Unverified
Approximate Query Matching for Image Retrieval	Mar 14, 2018	Graph GenerationImage Retrieval	—Unverified
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation	Mar 14, 2022	Graph GenerationScene Graph Generation	—Unverified
Hi-Dyna Graph: Hierarchical Dynamic Scene Graph for Robotic Autonomy in Human-Centric Environments	May 30, 2025	Graph GenerationHuman-Object Interaction Detection	—Unverified
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation	Jun 22, 2022	Graph GenerationScene Graph Generation	—Unverified

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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