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 171–180 of 318 papers

Title	Date	Tasks	Status
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation	May 29, 2025	Graph GenerationScene Graph Generation	—Unverified
Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detection	Nov 3, 2023	Graph GenerationHuman-Object Interaction Detection	—Unverified
Peer Learning for Unbiased Scene Graph Generation	Dec 31, 2022	Graph GenerationScene Graph Generation	—Unverified
Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation	Sep 16, 2024	3D Open-Vocabulary Object DetectionGraph Generation	—Unverified
PPDL: Predicate Probability Distribution Based Loss for Unbiased Scene Graph Generation	Jan 1, 2022	Graph GenerationPredicate Classification	—Unverified
Predicate Classification Using Optimal Transport Loss in Scene Graph Generation	Sep 19, 2023	Graph GenerationPredicate Classification	—Unverified
Predicate correlation learning for scene graph generation	Jul 6, 2021	Graph GenerationScene Graph Generation	—Unverified
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention	Sep 17, 2023	Action RecognitionGraph Generation	—Unverified
Towards Flexible Visual Relationship Segmentation	Aug 15, 2024	Graph GenerationHuman-Object Interaction Detection	—Unverified
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning	Jan 26, 2024	Graph GenerationIn-Context Learning	—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