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 71–80 of 318 papers

Title	Date	Tasks	Status	Hype
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency	May 21, 2024	Graph GenerationScene Graph Generation	—Unverified	0
4D Panoptic Scene Graph Generation	May 16, 2024	4D Panoptic SegmentationGraph Generation	CodeCode Available	3
A Review and Efficient Implementation of Scene Graph Generation Metrics	Apr 15, 2024	BenchmarkingGraph Generation	CodeCode Available	1
Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms	Apr 14, 2024	Graph GenerationScene Graph Generation	—Unverified	0
AUG: A New Dataset and An Efficient Model for Aerial Image Urban Scene Graph Generation	Apr 11, 2024	Graph GenerationRelationship Detection	—Unverified	0
ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling	Apr 10, 2024	Data AugmentationGraph Generation	CodeCode Available	1
SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos	Apr 6, 2024	Graph GenerationRelation	CodeCode Available	1
Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling	Apr 3, 2024	3d scene graph generationGraph Generation	CodeCode Available	0
EGTR: Extracting Graph from Transformer for Scene Graph Generation	Apr 2, 2024	Graph GenerationMulti-Task Learning	CodeCode Available	2
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models	Apr 1, 2024	Graph GenerationImage to text	CodeCode Available	2

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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