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 226–250 of 318 papers

TitleStatusHype
An Enhanced Object Detection Model for Scene Graph Generation—0
RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation—0
Towards Unseen Triples: Effective Text-Image-joint Learning for Scene Graph Generation—0
Rethinking the Evaluation of Unbiased Scene Graph Generation—0
VrR-VG: Refocusing Visually-Relevant Relationships—0
Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms—0
Triple Correlations-Guided Label Supplementation for Unbiased Video Scene Graph Generation—0
Two Stream Scene Understanding on Graph Embedding—0
Robo-SGG: Exploiting Layout-Oriented Normalization and Restitution for Robust Scene Graph Generation—0
Visual Relationship Detection using Scene Graphs: A Survey—0
SAMJAM: Zero-Shot Video Scene Graph Generation for Egocentric Kitchen Videos—0
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction—0
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories—0
Counterfactual Critic Multi-Agent Training for Scene Graph Generation—0
Unbiased Scene Graph Generation by Type-Aware Message Passing on Heterogeneous and Dual Graphs—0
Scene Graph Generation: A Comprehensive Survey—0
A Causal Adjustment Module for Debiasing Scene Graph Generation—0
BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation—0
Scene Graph Generation for Better Image Captioning?—0
VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools—0
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction—0
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments—0
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation—0
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery—0
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning—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