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 21–30 of 318 papers

Title	Date	Tasks	Status	Hype
Fine-Grained Scene Graph Generation with Data Transfer	Mar 22, 2022	Graph GenerationPredicate Classification	CodeCode Available	1
GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph	Sep 6, 2021	Graph GenerationGraph Learning	CodeCode Available	1
Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generation	Mar 17, 2022	Graph GenerationPredicate Classification	CodeCode Available	1
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation	Apr 1, 2021	Graph GenerationGraph Neural Network	CodeCode Available	1
Bridging Knowledge Graphs to Generate Scene Graphs	Jan 7, 2020	Graph GenerationKnowledge Graphs	CodeCode Available	1
Are scene graphs good enough to improve Image Captioning?	Sep 25, 2020	DecoderGraph Attention	CodeCode Available	1
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment	Jul 17, 2022	Causal DiscoveryRobot Manipulation	CodeCode Available	1
Adaptive Self-training Framework for Fine-grained Scene Graph Generation	Jan 18, 2024	Graph GenerationScene Graph Generation	CodeCode Available	1
Energy-Based Learning for Scene Graph Generation	Mar 3, 2021	Graph GenerationInductive Bias	CodeCode Available	1
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge	Nov 21, 2023	Large Language ModelMultimodal Deep Learning	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