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 131–140 of 318 papers

Title	Date	Tasks	Status	Score
GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives	Dec 7, 2023	Graph GenerationLanguage Modelling	CodeCode Available	5
ReFormer: The Relational Transformer for Image Captioning	Jul 29, 2021	Graph GenerationImage Captioning	CodeCode Available	5
Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs	May 15, 2023	RelationScene Graph Generation	CodeCode Available	5
Pixels to Graphs by Associative Embedding	Jun 22, 2017	Graph GenerationScene Graph Generation	CodeCode Available	5
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation	Dec 11, 2024	BenchmarkingFederated Learning	CodeCode Available	5
Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction	Jul 27, 2024	Generative Adversarial NetworkGraph Generation	CodeCode Available	5
Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation	May 30, 2023	Graph GenerationImage Generation	CodeCode Available	5
Federated Voxel Scene Graph for Intracranial Hemorrhage	Nov 1, 2024	DiversityGraph Generation	CodeCode Available	5
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics	Feb 21, 2022	BIG-bench Machine LearningGraph Generation	CodeCode Available	5
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation	Jun 29, 2018	ClusteringGraph Generation	CodeCode Available	5

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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