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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 318 papers

TitleStatusHype
RU-Net: Regularized Unrolling Network for Scene Graph GenerationCode1
Supplementing Missing Visions via Dialog for Scene Graph GenerationsCode0
Fine-Grained Predicates Learning for Scene Graph GenerationCode1
Fine-Grained Scene Graph Generation with Data TransferCode1
4D-OR: Semantic Scene Graphs for OR Domain ModelingCode1
Relationformer: A Unified Framework for Image-to-Graph GenerationCode1
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph GenerationCode1
Biasing Like Human: A Cognitive Bias Framework for Scene Graph GenerationCode1
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation—0
Dual Embodied-Symbolic Concept Representations for Deep Learning—0
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions—0
One-shot Scene Graph GenerationCode1
Relation Regularized Scene Graph Generation—0
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence RoboticsCode0
Hyper-relationship Learning Network for Scene Graph Generation—0
RelTR: Relation Transformer for Scene Graph GenerationCode2
Constrained Structure Learning for Scene Graph Generation—0
Resistance Training using Prior Bias: toward Unbiased Scene Graph GenerationCode1
Scene Graph Generation: A Comprehensive Survey—0
Dynamic Scene Graph Generation via Anticipatory Pre-Training—0
PPDL: Predicate Probability Distribution Based Loss for Unbiased Scene Graph Generation—0
SGTR: End-to-end Scene Graph Generation with TransformerCode1
Exploiting Long-Term Dependencies for Generating Dynamic Scene GraphsCode0
Neural Belief Propagation for Scene Graph Generation—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation—0
Scene Graph Generation with Geometric Context—0
Topic Scene Graph Generation by Attention Distillation from CaptionCode1
SGTR: Generating Scene Graph by Learning Compositional Triplets with Transformer—0
Scene Graph Generation for Better Image Captioning?—0
BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation—0
Learning to Generate Scene Graph from Natural Language SupervisionCode1
GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene GraphCode1
roadscene2vec: A Tool for Extracting and Embedding Road Scene-GraphsCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
Learning of Visual Relations: The Devil is in the Tails—0
Semantic Compositional Learning for Low-shot Scene Graph Generation—0
Target Adaptive Context Aggregation for Video Scene Graph GenerationCode1
Unconditional Scene Graph Generation—0
ReFormer: The Relational Transformer for Image CaptioningCode0
Image Scene Graph Generation (SGG) BenchmarkCode0
Spatial-Temporal Transformer for Dynamic Scene Graph GenerationCode1
Scenes and Surroundings: Scene Graph Generation using Relation TransformerCode1
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge IntegrationCode1
Predicate correlation learning for scene graph generation—0
Recovering the Unbiased Scene Graphs from the Biased OnesCode1
Structured Sparse R-CNN for Direct Scene Graph GenerationCode1
Tackling the Challenges in Scene Graph Generation with Local-to-Global InteractionsCode1
Linguistic Structures as Weak Supervision for Visual Scene Graph GenerationCode1
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—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