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 51100 of 318 papers

TitleStatusHype
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph GenerationCode1
Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open WorldCode1
Location-Free Scene Graph GenerationCode1
SGFormer: Semantic Graph Transformer for Point Cloud-based 3D Scene Graph GenerationCode1
Hierarchical Relationships: A New Perspective to Enhance Scene Graph GenerationCode1
Prototype-based Embedding Network for Scene Graph GenerationCode1
LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph GenerationCode1
Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic SpaceCode1
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural NetworkCode1
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph GenerationCode1
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard EnvironmentCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph GenerationCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
RU-Net: Regularized Unrolling Network for Scene Graph GenerationCode1
HL-Net: Heterophily Learning Network for Scene Graph GenerationCode1
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
One-shot Scene Graph GenerationCode1
Resistance Training using Prior Bias: toward Unbiased Scene Graph GenerationCode1
SGTR: End-to-end Scene Graph Generation with TransformerCode1
Topic Scene Graph Generation by Attention Distillation from CaptionCode1
GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene GraphCode1
Learning to Generate Scene Graph from Natural Language SupervisionCode1
roadscene2vec: A Tool for Extracting and Embedding Road Scene-GraphsCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
Target Adaptive Context Aggregation for Video Scene Graph GenerationCode1
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
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
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph GenerationCode1
Fully Convolutional Scene Graph GenerationCode1
Visual Distant Supervision for Scene Graph GenerationCode1
SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D SequencesCode1
Probabilistic Modeling of Semantic Ambiguity for Scene Graph GenerationCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
Energy-Based Learning for Scene Graph GenerationCode1
Context-Aware Scene Graph Generation With Seq2Seq TransformersCode1
Dense Relational Image Captioning via Multi-task Triple-Stream NetworksCode1
Are scene graphs good enough to improve Image Captioning?Code1
CogTree: Cognition Tree Loss for Unbiased Scene Graph GenerationCode1
PCPL: Predicate-Correlation Perception Learning 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