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 121–130 of 318 papers

Title	Date	Tasks	Status	Hype
Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction	Sep 7, 2023	Graph GenerationScene Graph Generation	CodeCode Available	1
RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation	Sep 6, 2023	Graph GenerationScene Graph Generation	—Unverified	0
Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes	Sep 5, 2023	Graph GenerationScene Graph Generation	CodeCode Available	0
Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding	Sep 1, 2023	Graph GenerationImage Captioning	CodeCode Available	0
Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation	Aug 23, 2023	Graph GenerationPrediction	CodeCode Available	0
Vision Relation Transformer for Unbiased Scene Graph Generation	Aug 18, 2023	DecoderGraph Generation	CodeCode Available	1
RLIPv2: Fast Scaling of Relational Language-Image Pre-training	Aug 18, 2023	Graph GenerationHuman-Object Interaction Detection	CodeCode Available	1
3D Scene Graph Prediction on Point Clouds Using Knowledge Graphs	Aug 13, 2023	Graph GenerationKnowledge Graphs	—Unverified	0
Compositional Feature Augmentation for Unbiased Scene Graph Generation	Aug 13, 2023	DiversityGraph Generation	CodeCode Available	1
Informative Scene Graph Generation via Debiasing	Aug 10, 2023	BlockingGraph Generation	—Unverified	0

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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