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 31–40 of 318 papers

Title	Date	Tasks	Status	Hype
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation	Jan 1, 2025	Graph GenerationRelation	—Unverified	0
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene	Jan 1, 2025	Graph GenerationLarge Language Model	—Unverified	0
Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features	Jan 1, 2025	AttributeGraph Generation	—Unverified	0
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation	Dec 26, 2024	Graph GenerationLarge Language Model	—Unverified	0
RelationField: Relate Anything in Radiance Fields	Dec 18, 2024	3d scene graph generationGraph Generation	CodeCode Available	2
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning	Dec 17, 2024	Graph GenerationMulti-Label Classification	CodeCode Available	1
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation	Dec 15, 2024	Autonomous DrivingGraph Generation	—Unverified	0
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation	Dec 11, 2024	BenchmarkingFederated Learning	CodeCode Available	0
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation	Dec 10, 2024	Contrastive LearningGraph Generation	—Unverified	0
ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models	Dec 9, 2024	Graph GenerationScene Graph Generation	CodeCode Available	1

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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