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 211–220 of 318 papers

Title	Date	Tasks	Status
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction	Jun 12, 2019	Few-Shot LearningGraph Generation	—Unverified
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments	Nov 20, 2020	Graph Generationreinforcement-learning	—Unverified
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation	Aug 15, 2022	DiversityGraph Generation	—Unverified
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery	Jun 26, 2025	Graph GenerationScene Graph Generation	—Unverified
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning	Jan 1, 2024	3d scene graph generationContrastive Learning	—Unverified
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency	May 21, 2024	Graph GenerationScene Graph Generation	—Unverified
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions	Feb 23, 2022	Graph GenerationScene Graph Generation	—Unverified
Scene Graph Generation via Conditional Random Fields	Nov 20, 2018	Graph GenerationImage Retrieval	—Unverified
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation	Mar 18, 2025	Conformal PredictionGraph Generation	—Unverified
Constrained Structure Learning for Scene Graph Generation	Jan 27, 2022	Graph GenerationScene Graph Generation	—Unverified

Show:10 25 50

← PrevPage 22 of 32Next →

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