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

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Showing 141–150 of 318 papers

Title	Date	Tasks	Status
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation	Jan 1, 2025	Graph GenerationRelation	—Unverified
Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features	Jan 1, 2025	AttributeGraph Generation	—Unverified
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene	Jan 1, 2025	Graph GenerationLarge Language Model	—Unverified
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation	Dec 26, 2024	Graph GenerationLarge Language Model	—Unverified
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation	Dec 15, 2024	Autonomous DrivingGraph Generation	—Unverified
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation	Dec 11, 2024	BenchmarkingFederated Learning	CodeCode Available
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation	Dec 10, 2024	Contrastive LearningGraph Generation	—Unverified
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation	Nov 27, 2024	Graph GenerationQuestion Answering	—Unverified
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation	Nov 20, 2024	Graph GenerationScene Graph Generation	—Unverified
Unbiased Scene Graph Generation by Type-Aware Message Passing on Heterogeneous and Dual Graphs	Nov 20, 2024	graph constructionGraph Generation	—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