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 211–220 of 318 papers

Title	Date	Tasks	Status
Unbiased Scene Graph Generation via Two-stage Causal Modeling	Jul 11, 2023	Causal InferenceGraph Generation	—Unverified
Open-Vocabulary Object Detection via Scene Graph Discovery	Jul 7, 2023	DecoderGraph Generation	—Unverified
Towards Unseen Triples: Effective Text-Image-joint Learning for Scene Graph Generation	Jun 23, 2023	Graph GenerationScene Graph Generation	—Unverified
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation	Jun 16, 2023	Graph GenerationMeta-Learning	CodeCode Available
On Certified Generalization in Structured Prediction	Jun 15, 2023	Generalization BoundsGraph Generation	—Unverified
Single-Stage Visual Relationship Learning using Conditional Queries	Jun 9, 2023	DecoderGraph Generation	—Unverified
Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation	May 30, 2023	Graph GenerationImage Generation	CodeCode Available
Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs	May 15, 2023	RelationScene Graph Generation	CodeCode Available
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation	Apr 7, 2023	Graph GenerationObject	—Unverified
LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms	Mar 23, 2023	Scene Graph Generation	CodeCode Available

Show:10 25 50

← PrevPage 22 of 32Next →

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