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 111–120 of 318 papers

Title	Date	Tasks	Status	Hype
VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools	Oct 16, 2023	Caption GenerationDescriptive	—Unverified	0
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions	Oct 10, 2023	Graph GenerationPanoptic Scene Graph Generation	—Unverified	0
Domain-wise Invariant Learning for Panoptic Scene Graph Generation	Oct 9, 2023	Graph GenerationPanoptic Scene Graph Generation	—Unverified	0
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation	Oct 2, 2023	BenchmarkingContinual Learning	CodeCode Available	0
Less is More: Toward Zero-Shot Local Scene Graph Generation via Foundation Models	Oct 2, 2023	Graph GenerationScene Graph Generation	CodeCode Available	1
Logical Bias Learning for Object Relation Prediction	Oct 1, 2023	Causal InferenceDecision Making	—Unverified	0
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation	Sep 23, 2023	Graph GenerationObject	CodeCode Available	1
Predicate Classification Using Optimal Transport Loss in Scene Graph Generation	Sep 19, 2023	Graph GenerationPredicate Classification	—Unverified	0
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention	Sep 17, 2023	Action RecognitionGraph Generation	—Unverified	0
STDG: Semi-Teacher-Student Training Paradigram for Depth-guided One-stage Scene Graph Generation	Sep 15, 2023	Graph GenerationScene Graph Generation	—Unverified	0

Show:10 25 50

← PrevPage 12 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