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
Predicate correlation learning for scene graph generation—0
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention—0
Towards Flexible Visual Relationship Segmentation—0
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning—0
R3CD: Scene Graph to Image Generation with Relation-aware Compositional Contrastive Control Diffusion—0
Towards Localizing Structural Elements: Merging Geometrical Detection with Semantic Verification in RGB-D Data—0
Approximate Query Matching for Image Retrieval—0
ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery—0
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning—0
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation—0
An Interpretable Model for Scene Graph Generation—0
Relation-R1: Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relational Comprehension—0
Relation Regularized Scene Graph Generation—0
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation—0
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
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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