SOTAVerified

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

Showing 5175 of 318 papers

TitleStatusHype
Bridging Knowledge Graphs to Generate Scene GraphsCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
Are scene graphs good enough to improve Image Captioning?Code1
Learning Visual Commonsense for Robust Scene Graph GenerationCode1
Graph R-CNN for Scene Graph GenerationCode1
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal ModelsCode1
NeuSyRE: Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph EnrichmentCode1
Energy-Based Learning for Scene Graph GenerationCode1
A Review and Efficient Implementation of Scene Graph Generation MetricsCode1
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense KnowledgeCode1
SPAN: Learning Similarity between Scene Graphs and Images with TransformersCode1
Manga109Dialog: A Large-scale Dialogue Dataset for Comics Speaker DetectionCode1
NODIS: Neural Ordinary Differential Scene UnderstandingCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
A Fair Ranking and New Model for Panoptic Scene Graph GenerationCode1
Fully Convolutional Scene Graph GenerationCode1
Compositional Feature Augmentation for Unbiased Scene Graph GenerationCode1
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and RetentionCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
Fine-Grained Scene Graph Generation with Data TransferCode1
4D-OR: Semantic Scene Graphs for OR Domain ModelingCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
Context-Aware Scene Graph Generation With Seq2Seq TransformersCode1
Generative Compositional Augmentations for Scene Graph PredictionCode1
CogTree: Cognition Tree Loss for Unbiased Scene Graph GenerationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ExpressiveSGGR@10039.12Unverified
2NeuSyRER@10039.1Unverified
3KnowZRelzR@10035.65Unverified
4SpeaQ (without reweighting)Recall@5032.9Unverified
5SpeaQ (with reweighting)Recall@5032.1Unverified
6Causal-TDERecall@5031.93Unverified
7SG-EBMRecall@5031.74Unverified
8GPS-NetRecall@5028.9Unverified
9LOGINRecall@5028.2Unverified
10VCTreeRecall@5027.9Unverified
#ModelMetricClaimedVerifiedStatus
1ORacleF10.91Unverified
2MM2SGF10.9Unverified
3Pix2SGF10.9Unverified
4LABRAD-ORF10.88Unverified
54D-OR baselineF10.75Unverified
#ModelMetricClaimedVerifiedStatus
1SceneGraphFusionTop-5 Accuracy0.87Unverified
23DSSG [Wald2020_3dssg]Top-5 Accuracy0.66Unverified
#ModelMetricClaimedVerifiedStatus
1FactorizableNetRecall@5018.32Unverified
2VRDRecall@5018.16Unverified
#ModelMetricClaimedVerifiedStatus
1KnowZRelzR@10029.56Unverified
#ModelMetricClaimedVerifiedStatus
1MM2SGMacro F10.53Unverified
#ModelMetricClaimedVerifiedStatus
1NeuSyRER@10038.5Unverified