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 176–200 of 318 papers

TitleStatusHype
SrTR: Self-reasoning Transformer with Visual-linguistic Knowledge for Scene Graph Generation—0
Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation—0
STDG: Semi-Teacher-Student Training Paradigram for Depth-guided One-stage Scene Graph Generation—0
Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships—0
UniQ: Unified Decoder with Task-specific Queries for Efficient Scene Graph Generation—0
Leveraging V2X for Collaborative HD Maps Construction Using Scene Graph Generation—0
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
Local-Global Information Interaction Debiasing for Dynamic Scene Graph Generation—0
Universal Scene Graph Generation—0
Logical Bias Learning for Object Relation Prediction—0
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models—0
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition—0
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation—0
Assisting Scene Graph Generation with Self-Supervision—0
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation—0
Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features—0
Neural Belief Propagation for Scene Graph Generation—0
Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation—0
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"—0
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation—0
Visual Semantic Information Pursuit: A Survey—0
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation—0
NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving—0
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation—0
On Certified Generalization in Structured Prediction—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