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 26–50 of 318 papers

TitleStatusHype
Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing—0
Weakly Supervised Video Scene Graph Generation via Natural Language SupervisionCode1
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph GenerationCode0
Leveraging V2X for Collaborative HD Maps Construction Using Scene Graph Generation—0
UniQ: Unified Decoder with Task-specific Queries for Efficient Scene Graph Generation—0
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene—0
Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features—0
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation—0
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation—0
RelationField: Relate Anything in Radiance FieldsCode2
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype LearningCode1
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation—0
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph GenerationCode0
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation—0
ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language ModelsCode1
LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial RelationsCode1
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation—0
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation—0
Unbiased Scene Graph Generation by Type-Aware Message Passing on Heterogeneous and Dual Graphs—0
Federated Voxel Scene Graph for Intracranial HemorrhageCode0
Situational Scene Graph for Structured Human-centric Situation UnderstandingCode0
Scene Graph Generation with Role-Playing Large Language ModelsCode1
Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation—0
Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation—0
Towards Localizing Structural Elements: Merging Geometrical Detection with Semantic Verification in RGB-D Data—0
Show:102550
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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