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 201–210 of 318 papers

Title	Date	Tasks	Status
Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding	Sep 1, 2023	Graph GenerationImage Captioning	CodeCode Available
Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation	Aug 23, 2023	Graph GenerationPrediction	CodeCode Available
3D Scene Graph Prediction on Point Clouds Using Knowledge Graphs	Aug 13, 2023	Graph GenerationKnowledge Graphs	—Unverified
Informative Scene Graph Generation via Debiasing	Aug 10, 2023	BlockingGraph Generation	—Unverified
Local-Global Information Interaction Debiasing for Dynamic Scene Graph Generation	Aug 10, 2023	Graph GenerationMulti-Task Learning	—Unverified
Generalized Unbiased Scene Graph Generation	Aug 9, 2023	Graph GenerationScene Graph Generation	—Unverified
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation	Aug 7, 2023	Graph GenerationObject	CodeCode Available
Improving Scene Graph Generation with Superpixel-Based Interaction Learning	Aug 4, 2023	Graph GenerationScene Graph Generation	—Unverified
Interpretable End-to-End Driving Model for Implicit Scene Understanding	Aug 2, 2023	Graph Generationobject-detection	—Unverified
Triple Correlations-Guided Label Supplementation for Unbiased Video Scene Graph Generation	Jul 30, 2023	Graph GenerationMissing Labels	—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