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

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Showing 251–300 of 318 papers

TitleStatusHype
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation—0
Semantic Scene Graph Generation Based on an Edge Dual Scene Graph and Message Passing Neural Network—0
Semantic Similarity Score for Measuring Visual Similarity at Semantic Level—0
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation—0
From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation—0
BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation—0
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation—0
FunGraph: Functionality Aware 3D Scene Graphs for Language-Prompted Scene Interaction—0
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation—0
Generalized Unbiased Scene Graph Generation—0
Generalized Visual Relation Detection with Diffusion Models—0
Importance Weighted Structure Learning for Scene Graph Generation—0
Unbiased Scene Graph Generation via Two-stage Causal Modeling—0
SGTR: Generating Scene Graph by Learning Compositional Triplets with Transformer—0
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning—0
GraphMapper: Efficient Visual Navigation by Scene Graph Generation—0
Self-Supervised Real-to-Sim Scene Generation—0
Single-Stage Visual Relationship Learning using Conditional Queries—0
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos—0
Hi-Dyna Graph: Hierarchical Dynamic Scene Graph for Robotic Autonomy in Human-Centric Environments—0
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation—0
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
AUG: A New Dataset and An Efficient Model for Aerial Image Urban Scene Graph Generation—0
Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing—0
HOIverse: A Synthetic Scene Graph Dataset With Human Object Interactions—0
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation—0
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation—0
Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation—0
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation—0
Hyper-relationship Learning Network for Scene Graph Generation—0
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Improving Scene Graph Generation with Superpixel-Based Interaction Learning—0
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement—0
Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies—0
Informative Scene Graph Generation via Debiasing—0
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows—0
Interpretable End-to-End Driving Model for Implicit Scene Understanding—0
IS-GGT: Iterative Scene Graph Generation With Generative Transformers—0
Iterative Scene Graph Generation—0
Iterative Scene Graph Generation with Generative Transformers—0
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation—0
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation—0
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning—0
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene—0
Unconditional Scene Graph Generation—0
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation—0
Learning of Visual Relations: The Devil is in the Tails—0
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All datasetsVisual Genome4D-OR3R-ScanVRDGQAMM-ORMS-COCO

Benchmark Results

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