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 126–150 of 318 papers

TitleStatusHype
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models—0
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation—0
Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies—0
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement—0
Improving Scene Graph Generation with Superpixel-Based Interaction Learning—0
Importance Weighted Structure Learning for Scene Graph Generation—0
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks—0
Dynamic Scene Graph Generation via Anticipatory Pre-Training—0
Hyper-relationship Learning Network for Scene Graph Generation—0
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation—0
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation—0
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation—0
Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation—0
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation—0
Dual ResGCN for Balanced Scene GraphGeneration—0
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation—0
HOIverse: A Synthetic Scene Graph Dataset With Human Object Interactions—0
Dual Embodied-Symbolic Concept Representations for Deep Learning—0
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding—0
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments—0
Approximate Query Matching for Image Retrieval—0
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation—0
Hi-Dyna Graph: Hierarchical Dynamic Scene Graph for Robotic Autonomy in Human-Centric Environments—0
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation—0
Domain-wise Invariant Learning for Panoptic Scene Graph Generation—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