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 241–250 of 318 papers

Title	Date	Tasks	Status
Segmentation-grounded Scene Graph Generation	Apr 29, 2021	Graph GenerationMulti-Task Learning	—Unverified
Ensemble Predicate Decoding for Unbiased Scene Graph Generation	Aug 26, 2024	Graph GenerationScene Graph Generation	—Unverified
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding	Jun 30, 2024	Graph GenerationGraph Neural Network	—Unverified
Self-Supervised Relation Alignment for Scene Graph Generation	Feb 2, 2023	Graph GenerationRelation	—Unverified
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection	Feb 13, 2023	3D Object DetectionGraph Generation	—Unverified
Semantic Compositional Learning for Low-shot Scene Graph Generation	Aug 19, 2021	Graph GenerationRelation	—Unverified
Explore Contextual Information for 3D Scene Graph Generation	Oct 12, 2022	3d scene graph generationGraph Generation	—Unverified
Exploring Context and Visual Pattern of Relationship for Scene Graph Generation	Jun 1, 2019	DiversityGraph Generation	—Unverified
Exploring the Hierarchy in Relation Labels for Scene Graph Generation	Sep 12, 2020	Graph GenerationRelation	—Unverified
Target-Tailored Source-Transformation for Scene Graph Generation	Apr 3, 2019	graph constructionGraph 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